Paper Citation Record · LEDGER

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials

As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2508.03405.

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

pith.paper-citation-record.v1
2508.03405 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:31:09.370859Z

measured 50 of 50 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

50 of 50 outbound references displayed

verified exact1
verified fuzzy13
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4640c514-04ff-4e6b-a12c-4851585398be · outbound

This paper cites Friederich, F.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Friederich, F

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:14.800215Z

Source-reported events for the cited work

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

Observation 26d7b2a9-4a14-4a32-9e87-76393c44bc47 · outbound

This paper cites Ceriotti, Beyond potentials: Integrated machine learning models for materials.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Ceriotti, Beyond potentials: Integrated machine learning models for materials

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:14.539576Z

Source-reported events for the cited work

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

Observation 1dfebf15-d60d-4512-9cad-7dc553d2103e · outbound

This paper cites Zuo, et al., Performance and Cost Assessment of Machine Learning Interatomic Potentials.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Zuo, et al., Performance and Cost Assessment of Machine Learning Interatomic Potentials

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:04.464061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3b5bc69-4f4d-44e8-be4a-d58d042769b6 · outbound

This paper cites Jacobs, et al., A practical guide to machine learning interatomic potentials--Status and future.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Jacobs, et al., A practical guide to machine learning interatomic potentials--Status and future

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:14.332605Z

Source-reported events for the cited work

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

Observation f16c2011-dc98-4db7-8c53-333322f42f55 · outbound

This paper cites Qamar, M.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Qamar, M

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:04.621809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51d07068-7db2-4bff-b2df-971b00b7a3ee · outbound

This paper cites Liang, et al., Atomic cluster expansion for Pt--Rh catalysts: From ab initio to the simulation of nanoclusters in few steps.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Liang, et al., Atomic cluster expansion for Pt--Rh catalysts: From ab initio to the simulation of nanoclusters in few steps

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:14.151696Z

Source-reported events for the cited work

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

Observation 51a511ea-2048-4d3b-8146-305f54b19549 · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:04.797739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f6e9d53-58c9-41c6-9fdb-b78ba6419754 · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:04.878796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa61d3ba-e569-4f73-ac89-1c1c5782d70c · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:04.979038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e82ed8b-a7a2-45bb-8efa-26208e0f366e · outbound

This paper cites Podryabinkin, K.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Podryabinkin, K

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:05.090006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f176824-f930-4005-9e94-e48b469911f0 · outbound

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

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:05.211379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01b71c52-b196-4716-a44a-1c022e5d0f13 · outbound

This paper cites Lysogorskiy, et al., Performant implementation of the atomic cluster expansion (PACE) and application to copper and silicon.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Lysogorskiy, et al., Performant implementation of the atomic cluster expansion (PACE) and application to copper and silicon

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:05.230764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 079c642a-4fc7-4205-9cfc-1495136238ca · outbound

This paper cites Bochkarev, et al., Efficient parametrization of the atomic cluster expansion.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Bochkarev, et al., Efficient parametrization of the atomic cluster expansion

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:05.342487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7cc17ca-b0ae-481e-adeb-4b457eb67842 · outbound

This paper cites Xu, et al., GPUMD 4.0: A high‐performance molecular dynamics package for versatile materials simulations with machine‐learned potentials.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Xu, et al., GPUMD 4.0: A high‐performance molecular dynamics package for versatile materials simulations with machine‐learned potentials

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:05.459142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15b59d50-5a37-4b71-9739-f1228555cd78 · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:31:13.825626Z

Source-reported events for the cited work

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

Observation b56b9af5-1379-4639-89b2-7246638d5b86 · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:31:13.649913Z

Source-reported events for the cited work

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

Observation fd94f14b-3301-4e86-a84e-05b8b4c03c84 · outbound

This paper cites Rybin, I.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Rybin, I

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:13.440982Z

Source-reported events for the cited work

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

Observation 1f5bc08e-51a7-43fa-a292-b3ad7114b814 · outbound

This paper cites Klimanova, N.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Klimanova, N

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:13.176141Z

Source-reported events for the cited work

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

Observation d05b1135-b91d-4b36-bd49-345cc6c8ab41 · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:31:13.035241Z

Source-reported events for the cited work

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

Observation 9364d76e-2f3e-4f8c-9eef-3d9ccdc41229 · outbound

This paper cites van der Oord, M.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials van der Oord, M

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:12.736505Z

Source-reported events for the cited work

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

Observation ee27fd09-fb5b-4016-94ff-161f81329b12 · outbound

This paper cites Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T04:31:09.887520Z

Source-reported events for the cited work

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

Observation 25a05d9c-9a88-4ba3-9d5e-68050232762b · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:31:12.547718Z

Source-reported events for the cited work

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

Observation 1fd60f50-d4a5-4a26-86df-de431095a078 · outbound

This paper cites Lysogorskiy, A.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Lysogorskiy, A

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:06.461866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c570bfb8-08ba-4b14-a7da-82e2e5ea3b8f · outbound

This paper cites Shuang, et al., Modeling extensive defects in metals through classical potential-guided sampling and automated configuration reconstruction.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Shuang, et al., Modeling extensive defects in metals through classical potential-guided sampling and automated configuration reconstruction

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:12.240029Z

Source-reported events for the cited work

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

Observation 8fe9bc81-4423-427d-b29f-6c0ec64f60dc · outbound

This paper cites Batatia, D.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Batatia, D

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:11.991530Z

Source-reported events for the cited work

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

Observation cef73eb7-7821-4fa8-b0c3-d32d1c45a739 · outbound

This paper cites Zhang, G.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Zhang, G

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:06.908980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f009c432-3103-4fb6-918c-ce76ac2f6fda · outbound

This paper cites Byggm \"a star, K.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Byggm \"a star, K

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:11.764483Z

Source-reported events for the cited work

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

Observation f44c0ea6-344a-438e-8803-ff8476053c0a · outbound

This paper cites NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:07.171943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb208731-f61a-4613-8bf8-2ce81d93960d · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:31:11.455757Z

Source-reported events for the cited work

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

Observation be197ddf-d9f2-4570-9604-aff13bc7cb6a · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:07.458735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e594dc57-4651-4331-9bc2-a25b64dbc613 · outbound

This paper cites Hodapp, A.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Hodapp, A

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:07.638010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca8f8a20-0be7-478c-ad0f-ada636903ec7 · outbound

This paper cites Mismetti, M.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Mismetti, M

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:07.770680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69731bb6-c212-49de-8e46-30352421ed56 · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:07.839434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d771db5e-feb5-4260-a3b1-958591cdb263 · outbound

This paper cites Schwalbe-Koda, S.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Schwalbe-Koda, S

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:11.306077Z

Source-reported events for the cited work

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

Observation 07839e90-be49-4722-a40d-2f5cc49ee6f8 · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:07.984837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4a6154d-071b-46b5-8e21-e0af2909bff3 · outbound

This paper cites A foundation model for atomistic materials chemistry.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials A foundation model for atomistic materials chemistry

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:08.051717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1458d762-3f28-4c11-ab36-5208c8c43d6d · outbound

This paper cites Batatia, et al., The design space of E (3)-equivariant atom-centred interatomic potentials.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Batatia, et al., The design space of E (3)-equivariant atom-centred interatomic potentials

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:11.140636Z

Source-reported events for the cited work

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

Observation 0c44077a-d316-4f75-abb0-eefd066a6ccf · outbound

This paper cites Drautz, Atomic cluster expansion of scalar, vectorial, and tensorial properties including magnetism and charge transfer.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Drautz, Atomic cluster expansion of scalar, vectorial, and tensorial properties including magnetism and charge transfer

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:31:10.896742Z

Source-reported events for the cited work

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

Observation 6f36a05c-33db-42aa-b811-c22acad91741 · outbound

This paper cites Dusson, et al., Atomic cluster expansion: Completeness, efficiency and stability.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Dusson, et al., Atomic cluster expansion: Completeness, efficiency and stability

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:08.326728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b9b9f40-735d-4116-87f0-048740e17d7f · outbound

This paper cites Thompson, L.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Thompson, L

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:08.425362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb1a82e2-c85c-453d-bd88-c79e8c203b4c · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:31:10.706200Z

Source-reported events for the cited work

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

Observation 75466e2f-d86f-47ba-83dc-62803e14a29c · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:08.560632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e47291c-ea4e-4b67-83f2-6be35c8ccb6e · outbound

This paper cites Kresse, J.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Kresse, J

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:08.653317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e8c9ff-767b-40b8-8071-edda4a57b7e5 · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:08.809713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 374dd2ba-fc8f-4e8d-8eab-71a6be4a6e60 · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:31:10.508121Z

Source-reported events for the cited work

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

Observation d32cb2c2-c857-409d-9e67-020913388526 · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:31:10.201230Z

Source-reported events for the cited work

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

Observation 868cd594-80e7-4af2-9fad-f0923a77b89b · outbound

This paper cites an unresolved cited work.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:31:10.051135Z

Source-reported events for the cited work

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

Observation c6bee55b-9454-46fd-8aba-39b0c9ef3594 · outbound

This paper cites Stukowski, Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials Stukowski, Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:09.136825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b9f0cc6-d101-49c9-9b76-91b5da59139b · outbound

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

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials , " * write output.state after.block = add.period write newline

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:09.235853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e937f9b1-052b-4c98-88d7-c1807eafc6d8 · outbound

This paper cites write newline.

Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials write newline

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T04:31:09.370859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.