Paper Citation Record · LEDGER

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials

As of 17 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2507.05559.

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

pith.paper-citation-record.v1
2507.05559 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

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measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T16:17:26.963678Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

63 of 63 outbound references displayed

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External citation measurements

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pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation fae38ae9-1a69-42bf-b92a-fbd8fcc8fc9d · outbound

This paper cites & Sham, L.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Sham, L

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:05.693424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51760923-db59-49a7-b418-ea3cc62fce03 · outbound

This paper cites D., Levy, M.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials D., Levy, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:05.446362Z

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Observation bb662ff6-96bc-4a35-9cc8-7f9eee790517 · outbound

This paper cites & Blaha, P.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Blaha, P

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:05.139605Z

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Observation 2ce30a33-2dbe-4178-97da-2ddadb2c26c7 · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation 0c942421-aa5e-48dc-9bad-bfdc7071b12a · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 5

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Observation 738b5360-886c-45e0-8f77-9b2cfba66ed1 · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:04.661520Z

Source-reported events for the cited work

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Observation bb1cc4aa-3a96-42b3-947d-db1406bc7501 · outbound

This paper cites & Parrinello, M.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Parrinello, M

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:04.403617Z

Source-reported events for the cited work

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Observation 41b29e2d-d445-46e3-926f-45656a6b95dc · outbound

This paper cites Neural Message Passing for Quantum Chemistry.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Neural Message Passing for Quantum Chemistry

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:47.502886Z

Source-reported events for the cited work

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Observation 23510cf8-0a1e-4ade-9af2-ec3c19f0033f · outbound

This paper cites SchNet: A continuous-filter convolutional neural network for modeling quantum interactions.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials SchNet: A continuous-filter convolutional neural network for modeling quantum interactions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:47.616267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 779cb0e8-9677-4702-b862-62da15adcae1 · outbound

This paper cites E(3)-equivariant graph neural networks for data-efficient and accurate inter- atomic potentials.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials E(3)-equivariant graph neural networks for data-efficient and accurate inter- atomic potentials

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:04.189548Z

Source-reported events for the cited work

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Observation 37fb7a11-7f13-4577-9c44-7e42d18eaf00 · outbound

This paper cites Atomic cluster expansion for accurate and transferable interatomic potentials.Phys.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Atomic cluster expansion for accurate and transferable interatomic potentials.Phys

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:47.819094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d5af378-7774-47a8-9e9f-0fc0310ff981 · outbound

This paper cites P., Simm, G., Ortner, C.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials P., Simm, G., Ortner, C

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:03.937626Z

Source-reported events for the cited work

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Observation 37336cca-f0ee-4378-ae5d-a439c17255a6 · outbound

This paper cites & Ong, S.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Ong, S

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:03.710252Z

Source-reported events for the cited work

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Observation 0b3afcf1-6498-4cd7-974b-4fdc18b0c223 · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:03.502950Z

Source-reported events for the cited work

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Observation 700cad9c-79cd-4c6c-a369-c32c3bcd37e2 · outbound

This paper cites A foundation model for atomistic materials chemistry.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials A foundation model for atomistic materials chemistry

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:48.192769Z

Source-reported events for the cited work

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Observation 4ee6f8cd-f6f3-46a6-9672-9dd119a260a3 · outbound

This paper cites & Han, S.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Han, S

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:03.239175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 88002ccd-6661-4f3d-8b37-207dadaf4846 · outbound

This paper cites MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:48.462519Z

Source-reported events for the cited work

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Observation d2d792ec-48f5-47ac-94bd-9e8a55089834 · outbound

This paper cites Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:48.580729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8173e30c-ca77-4f46-a19d-52a394b8e6c8 · outbound

This paper cites Systematic softening in universal machine learning interatomic potentials.npj Comput.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Systematic softening in universal machine learning interatomic potentials.npj Comput

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:02.987177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46e7d839-4745-4659-8fee-218413c35494 · outbound

This paper cites Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:48.757663Z

Source-reported events for the cited work

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Observation 8f0fd7ab-e4d8-4212-a241-d8a74d5b83a1 · outbound

This paper cites P., Burke, K.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials P., Burke, K

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:02.761089Z

Source-reported events for the cited work

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Observation 09b86a8e-f538-48bc-b8b9-16187a1b79dd · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:02.522606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c8b2a79-fdd1-40b0-8c0b-2c2e376a7b7d · outbound

This paper cites K.et al.Accelerated data-driven materials science with the materials project.Nat.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials K.et al.Accelerated data-driven materials science with the materials project.Nat

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:02.241144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64996ed9-bd63-4986-be4b-05456d4052c9 · outbound

This paper cites & Marques, M.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Marques, M

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:01.924694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1146b182-7578-4eb0-b93f-464c1e0892b0 · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:29:01.636129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48e1a4a2-21b4-48d7-85c3-bccf7eb1dc9b · outbound

This paper cites & Neugebauer, J.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Neugebauer, J

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:01.317749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 223f0833-b2ff-4564-b1c2-2f9b4e8a05f3 · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:49.573494Z

Source-reported events for the cited work

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Observation ee87f9ad-19c0-44e2-b262-f4c43c3ca751 · outbound

This paper cites W., Kaplan, A.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials W., Kaplan, A

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:01.076826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1fd67dad-2676-43fd-be62-4d9551b01825 · outbound

This paper cites Performance comparison of r2SCAN and SCAN metaGGA density func- tionals for solid materials via an automated, high-throughput computational workflow.Phys.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Performance comparison of r2SCAN and SCAN metaGGA density func- tionals for solid materials via an automated, high-throughput computational workflow.Phys

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:00.823960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b1c1b9ac-6380-44c6-9c0d-2a7dde0139ef · outbound

This paper cites Testing the r2SCAN density functional for the thermodynamic stability of solids with and without a van der waals correction.ACS Mater.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Testing the r2SCAN density functional for the thermodynamic stability of solids with and without a van der waals correction.ACS Mater

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:00.522429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a402853f-f442-4b30-beb4-1f1f419b8f96 · outbound

This paper cites & Sai Gautam, G.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Sai Gautam, G

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:00.304856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cdb11d99-fce3-467f-b9db-1cc197663ce3 · outbound

This paper cites I., He, J.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials I., He, J

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:00.020918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 09497815-86b7-4158-b238-dcbb20f8f8ff · outbound

This paper cites W., Wood, B.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials W., Wood, B

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:59.798286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06a4d5c3-7738-415c-9e51-aa18c6b9c8e0 · outbound

This paper cites & Drautz, R.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Drautz, R

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:59.599426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8ff5d618-961c-4fba-96fb-53bdd998632b · outbound

This paper cites S., Opper, M.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials S., Opper, M

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:59.378913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45173810-dbfe-4c64-9128-cc32df80d013 · outbound

This paper cites & Rehme, S.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Rehme, S

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:59.141360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a5ab997d-4cbe-433a-ba89-74580daee159 · outbound

This paper cites & Baird, S.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Baird, S

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:58.887711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f101f381-0126-43ae-ade9-acedb1f3ab67 · outbound

This paper cites & Marques, M.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Marques, M

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:58.651013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation da74e00b-bfa2-43e9-8f8d-2cb5083a768c · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:28:58.404890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 009b3ed3-4ec2-474f-89af-0dbec6da93fa · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:28:58.160473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31251530-f855-4843-a736-7c83fada8cde · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:28:57.957568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bf50a145-162a-484c-b025-99ed42e29098 · outbound

This paper cites B., Perdew, J.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials B., Perdew, J

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:57.689320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 110cff98-edfb-415a-94fa-eeb4ae895b7a · outbound

This paper cites D., Clark, S.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials D., Clark, S

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:57.469207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 620c66aa-021f-4335-888f-f15f256cd4fa · outbound

This paper cites & Persson, K.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Persson, K

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:57.198407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2caeea91-3641-4653-af73-7600fb2b7238 · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:28:56.963364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2adc6a2-b052-421c-8bfa-53037020b147 · outbound

This paper cites & Littmark, U.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Littmark, U

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:56.700374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fdfb041-dd46-447c-b932-d2fe37ab1f39 · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:28:56.429727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e67af41d-b5c5-4860-8f69-19098333d360 · outbound

This paper cites P.et al.Python materials genomics (pymatgen): A robust, open-source python library for materials analysis.Comput.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials P.et al.Python materials genomics (pymatgen): A robust, open-source python library for materials analysis.Comput

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:51.852643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e3eaefa-0f07-4d76-bf34-6dd856f26621 · outbound

This paper cites S., Nebgen, B., Lubbers, N., Isayev, O.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials S., Nebgen, B., Lubbers, N., Isayev, O

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:56.258805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5824d16c-b375-4b20-b31c-6683cf94360f · outbound

This paper cites A survey of deep active learning.ACM Comput.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials A survey of deep active learning.ACM Comput

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:55.998777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78613ff9-7179-4ea6-82f2-1998d27f0a37 · outbound

This paper cites Materials Graph Library (MatGL), an open-source graph deep learning library for materials science and chemistry.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Materials Graph Library (MatGL), an open-source graph deep learning library for materials science and chemistry

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:52.181916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5abd925-9148-4984-a75a-0e22da74b207 · outbound

This paper cites & Livny, M.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Livny, M

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:55.718300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46146a52-904c-4769-9370-f9b2613c2b1d · outbound

This paper cites & Joubert, D.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Joubert, D

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:52.402719Z

Source-reported events for the cited work

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This paper cites & Furthmüller, J.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Furthmüller, J

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:52.542034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:28:55.475457Z

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Observation ce87b91d-852f-45e0-aa0c-a5374bfaa5b1 · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:28:55.288248Z

Source-reported events for the cited work

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Observation 12bb4b7f-9a4d-46dd-8fc7-096f28297d36 · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:28:55.109941Z

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Observation 7e13ed97-ba43-4f76-afae-42dd918a36ff · outbound

This paper cites & Razinkovas, L.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Razinkovas, L

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:54.886765Z

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Observation 01376863-b1a1-4a25-b5e0-c9a89f9c5312 · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:28:54.654650Z

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Observation 034d56ad-0a0e-41a4-bd20-8781c62ac015 · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:28:54.392533Z

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Observation 78d4266e-c7dc-4984-899d-7dd648947231 · outbound

This paper cites an unresolved cited work.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:28:54.157117Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af09cbae-6a11-4cae-84f5-8e955a80b70d · outbound

This paper cites & Ong, S.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Ong, S

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:53.958175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7b6f1f0-15ed-48f8-9c78-c3b42d2a37b3 · outbound

This paper cites & Kresse, G.

MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials & Kresse, G

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:28:53.711937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 053d5301-ea66-4dbe-a4a5-c45ef5318af5 · inbound

VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python cites this paper.

VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials

Reference 261

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.