Paper Citation Record · LEDGER

Universal Machine Learning Potentials under Pressure

As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 3 inbound Pith citation observations for arXiv:2508.17792.

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

pith.paper-citation-record.v1
2508.17792 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:48:26.179797Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:57:52.432370Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:18:39.749481Z

Reference resolution

52 of 52 outbound references displayed

verified exact1
verified fuzzy21
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b0ab41f-1aa4-43ec-9bdd-ec2577071060 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:35.568396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 591f1999-0404-41cf-a96f-7945fc1735bd · outbound

This paper cites Zhang, Y.

Universal Machine Learning Potentials under Pressure Zhang, Y

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:35.273324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 005e8fc9-6ef2-4a44-af70-a5eb4c96baa2 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:35.027261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation da65c752-bf79-4c3e-998d-6509790a0e8f · outbound

This paper cites Loubeyre, F.

Universal Machine Learning Potentials under Pressure Loubeyre, F

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:34.820030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ddb76796-15a3-4b71-85cd-102be570278b · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:34.533708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1d1161e-e6d2-4f98-99af-3da4fc23ba00 · outbound

This paper cites Grochala, R.

Universal Machine Learning Potentials under Pressure Grochala, R

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:34.227950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 34e048f1-55ca-4741-a526-a062933c7c36 · outbound

This paper cites Popov, M.Kyotani, R.J.Nemanich,andY.Koga,Su- perhardphasecomposedofsingle-wallcarbonnanotubes, Phys.

Universal Machine Learning Potentials under Pressure Popov, M.Kyotani, R.J.Nemanich,andY.Koga,Su- perhardphasecomposedofsingle-wallcarbonnanotubes, Phys

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:33.949543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7d53f5eb-d6a9-4e66-a2b1-bad9c0ff6ebe · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:33.701254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 383d3563-58ff-4617-b0d6-45f2433d1474 · outbound

This paper cites Tang, H.-w.

Universal Machine Learning Potentials under Pressure Tang, H.-w

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:33.453911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ec9b3080-fd18-461e-b94b-f991fe0d7e90 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:33.171114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cc501d25-6faa-4b3a-bc4a-2be082bf93a3 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:32.903901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 71f5d2d4-4383-42fc-9030-2387d64e372a · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:32.634855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4a27e4ab-a622-4b48-b1d3-a7c7e21d0676 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:32.463927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6500f618-f20f-419d-a62c-905458cad195 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:32.229510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1a7f8c69-e266-464b-860b-16c80160277c · outbound

This paper cites Sun, H.-T.

Universal Machine Learning Potentials under Pressure Sun, H.-T

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:31.951011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ef4d87b3-a226-440e-a301-a2bb9afff7c8 · outbound

This paper cites Napiórkowska, K.

Universal Machine Learning Potentials under Pressure Napiórkowska, K

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:31.740789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 50289545-533f-45f7-9a43-fdd0c25fac80 · outbound

This paper cites Zeller, C.

Universal Machine Learning Potentials under Pressure Zeller, C

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:31.523309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d284fa96-0baa-49a7-984e-b7be7eec344b · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:31.331024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b57af383-d00f-4485-9b19-2d5b7e2fff5d · outbound

This paper cites Behler, Perspective: Machine learning potentials for atomistic simulations, J.

Universal Machine Learning Potentials under Pressure Behler, Perspective: Machine learning potentials for atomistic simulations, J

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:23.092305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e6b5e8a-9a07-47a0-a6ec-757740041814 · outbound

This paper cites Thompson, L.

Universal Machine Learning Potentials under Pressure Thompson, L

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:31.158482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9f53c0d1-b167-4445-bb8a-49e7ffc20715 · outbound

This paper cites Graser, S.

Universal Machine Learning Potentials under Pressure Graser, S

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:30.937375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8f8012f2-d0ff-4341-af5a-62939c543a29 · outbound

This paper cites Schmidt, M.

Universal Machine Learning Potentials under Pressure Schmidt, M

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:30.649106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e23a26ad-9982-4afe-8cb4-c66499933949 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:30.381492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a2e03b4-aff8-4a0e-9583-797488f3a58a · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:23.585485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81e6ac07-8c3b-4a2f-b899-e354579c0d0e · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:30.073725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7e685151-1703-4d39-8092-76de2d332230 · outbound

This paper cites P.Ong, G.Hautier, W.Chen, W.D.Richards, S.

Universal Machine Learning Potentials under Pressure P.Ong, G.Hautier, W.Chen, W.D.Richards, S

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:29.738579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d1619f6-86dd-4d99-b78c-d832c0a19db6 · outbound

This paper cites Kirklin, J.

Universal Machine Learning Potentials under Pressure Kirklin, J

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:29.468785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 975606e5-aa01-469a-8b80-b5730d25be22 · outbound

This paper cites Curtarolo, W.

Universal Machine Learning Potentials under Pressure Curtarolo, W

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:29.146724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 23351af2-00c3-43aa-861e-ef80d169643b · outbound

This paper cites Schmidt, T.

Universal Machine Learning Potentials under Pressure Schmidt, T

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:28.875216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a27f1a70-04c4-4fd8-8df9-3cd7499c7786 · outbound

This paper cites Scheidgen, L.

Universal Machine Learning Potentials under Pressure Scheidgen, L

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:28.636723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f5017642-1a5b-47f9-a098-2c2bb67e20a0 · outbound

This paper cites Chen and S.

Universal Machine Learning Potentials under Pressure Chen and S

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:28.374216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0faa09e1-0447-40aa-bd79-4c0c0fafceba · outbound

This paper cites Orb: A Fast, Scalable Neural Network Potential.

Universal Machine Learning Potentials under Pressure Orb: A Fast, Scalable Neural Network Potential

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:24.283804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1d0bf73-c46a-4733-9e56-5b127ae1bbf7 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:28.046411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7c457218-59c7-460d-ba66-93355b5a42ae · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:27.721894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b760a908-3035-4dbb-a061-55eb8fb7f6b1 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:27.476186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 10ac8f2f-9098-464f-8c76-80489cab0d75 · outbound

This paper cites Choudhary and B.

Universal Machine Learning Potentials under Pressure Choudhary and B

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:24.611649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42dc3dfc-d84b-426f-ac34-f5b9ecae1a8c · outbound

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

Universal Machine Learning Potentials under Pressure MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:24.668848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e454d2fb-1d80-41a6-bee0-64e1d90a8408 · outbound

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

Universal Machine Learning Potentials under Pressure Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:24.754351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e739fdd4-59cb-4aa5-8d88-d7bb68c1fdbd · outbound

This paper cites The OpenLAM Challenges.

Universal Machine Learning Potentials under Pressure The OpenLAM Challenges

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:48:26.473566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 438aefad-10c4-47b4-a2bb-ebd06a7df5c7 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:24.861228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a40e38c0-a43c-4590-87ba-e381410aff15 · outbound

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

Universal Machine Learning Potentials under Pressure Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:24.924561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed59ce7-6692-4afb-b04b-bf0b96e04bb3 · outbound

This paper cites MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields.

Universal Machine Learning Potentials under Pressure MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:25.035057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e2ed2d3-38a8-469f-8f88-056165afa715 · outbound

This paper cites Batzner, A.

Universal Machine Learning Potentials under Pressure Batzner, A

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:27.266709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 50194834-9c29-4fec-b5bc-542d51447640 · outbound

This paper cites Zhang, A.

Universal Machine Learning Potentials under Pressure Zhang, A

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:25.279419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15af991e-d476-4d55-adb2-7c6ad4052363 · outbound

This paper cites Bochkarev, Y.

Universal Machine Learning Potentials under Pressure Bochkarev, Y

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:27.097236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee7ee4f2-2516-414d-9e65-d2c1d0a19dc8 · outbound

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

Universal Machine Learning Potentials under Pressure Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials, Phys

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:25.483411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0417eb4c-c075-410d-a59a-175726b73749 · outbound

This paper cites Orb-v3: atomistic simulation at scale.

Universal Machine Learning Potentials under Pressure Orb-v3: atomistic simulation at scale

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:25.597729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1382429b-d4ef-474c-8642-44273d5d8a33 · outbound

This paper cites Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction.

Universal Machine Learning Potentials under Pressure Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:25.676675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42d8fad4-06dc-47c1-8d2c-e8120047a072 · outbound

This paper cites Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields.

Universal Machine Learning Potentials under Pressure Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:25.816850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a3a16af-8b51-487b-9d6d-bf3fe5131de8 · outbound

This paper cites Kresse and J.

Universal Machine Learning Potentials under Pressure Kresse and J

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:26.835566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b98e34e6-9726-45a7-83cc-6f18e99a0581 · outbound

This paper cites Kresse and J.

Universal Machine Learning Potentials under Pressure Kresse and J

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:26.046774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 943b470c-3127-40ce-a016-ca08b2065ac2 · outbound

This paper cites (facebookresearch), fairchem: Fair chemistry’s li- brary of machine learning methods for chemistry,https: //github.com/facebookresearch/fairchem (2025), ac- cessed: 2025-08-17.

Universal Machine Learning Potentials under Pressure (facebookresearch), fairchem: Fair chemistry’s li- brary of machine learning methods for chemistry,https: //github.com/facebookresearch/fairchem (2025), ac- cessed: 2025-08-17

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:26.670311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 77644269-d7c3-41c7-ae1e-ccbdb742f3fa · inbound

Active learning and explicit electrostatics enable accurate modeling of electrolytes cites this paper.

Active learning and explicit electrostatics enable accurate modeling of electrolytes Universal Machine Learning Potentials under Pressure

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T11:57:52.432370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 183abe3b-3f39-4273-99d8-fc2612e32d00 · inbound

AI-Driven Expansion and Application of the Alexandria Database cites this paper.

AI-Driven Expansion and Application of the Alexandria Database Universal Machine Learning Potentials under Pressure

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:18:39.751008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eef583bc-e23d-4dab-b5e9-8eb7eea6db15 · 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 Universal Machine Learning Potentials under Pressure

Reference 236

Resolution: unresolved; no resolver link, observed 2026-07-11T16:17:26.963678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.