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Paper Citation Record · LEDGER

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience

As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2507.07352.

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

pith.paper-citation-record.v1
2507.07352 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:48:06.430445Z

measured 68 of 68 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

68 of 68 outbound references displayed

  • verified exact13
  • verified fuzzy49
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a69bba29-6fea-44e1-8460-0bf120bf7387 · outbound

This paper cites Top 500 supercomputers, 2024.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Top 500 supercomputers, 2024

Reference 1

Resolution
verified fuzzy
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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.

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Observation ed6b0401-860b-4d68-87a1-6e50db1a511a · outbound

This paper cites Exascale software study: Software challenges in extreme scale systems.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Exascale software study: Software challenges in extreme scale systems

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.559773Z

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.

source=pdf_text observed=2026-08-06T18:47:59.710568Z digest=sha256:c2a50e10ca2502c50201b9b0fd66a59da0d50cd821ade333c103862740a5d1e0

Observation 526cc47c-d262-4adb-a14c-70315efc86b7 · outbound

This paper cites Running many molecular dynamics simulations on many supercomputers.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Running many molecular dynamics simulations on many supercomputers

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.549002Z

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.

source=pdf_text observed=2026-08-06T18:47:59.780725Z digest=sha256:2408f362e234254520e663329747a98872b6fcf5cce42164b16c58a7a3252bdd

Observation de8673fb-177f-4d3d-9508-c18f1babdc42 · outbound

This paper cites Scaling of multimillion-atom biological molecular dynamics simulation on a petascale supercomputer.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Scaling of multimillion-atom biological molecular dynamics simulation on a petascale supercomputer

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.538806Z

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.

source=pdf_text observed=2026-08-06T18:47:59.923249Z digest=sha256:5214d57d49284247c8be9467f87fcc809ae679f13c28b031217bb4dcb2ee505c

Observation 59e412cc-8f53-4545-bff8-ecdef06fca24 · outbound

This paper cites Hpc molecular simulation tries out a new gpu: Experiences on early amd test systems for the frontier supercomputer.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Hpc molecular simulation tries out a new gpu: Experiences on early amd test systems for the frontier supercomputer

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.527945Z

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.

source=pdf_text observed=2026-08-06T18:48:00.004026Z digest=sha256:17121c385e8faa8db73f12d2d447df8ac7ec1381a0ddc367b07952709e6a12ad

Observation 5e658cdc-aaff-4cda-ac6a-dcde0012328d · outbound

This paper cites Marrink, H.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Marrink, H

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:00.085072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:00.085072Z digest=sha256:69a6cc55023dcc3cad5dc62a17a269d361b35f2faf82ad2789013d2bed712e5e

Observation b4b6e420-ea7c-4f2d-9717-6081a792153a · outbound

This paper cites Ingólfsson, Cesar A.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Ingólfsson, Cesar A

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.517192Z

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.

source=pdf_text observed=2026-08-06T18:48:00.218256Z digest=sha256:cc55508b58bbaa67119e7a997867e5433262b7bc3368a12ca1d73739f1cd6a12

Observation ef7d477a-a024-40c3-ae68-605b8c9a24ab · outbound

This paper cites 100+ tflop solidification simulations on bluegene/l.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience 100+ tflop solidification simulations on bluegene/l

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.507423Z

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.

source=pdf_text observed=2026-08-06T18:48:00.298870Z digest=sha256:17395849efe51bd2ce361de0724e138b1011e84e52e697c3e7fc5f04c3061145

Observation f8c324a5-e452-495f-8e77-4f933f6179fd · outbound

This paper cites an unresolved cited work.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:48:11.496206Z

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.

source=pdf_text observed=2026-08-06T18:48:00.393046Z digest=sha256:6de1ed05166c2f22f185a6de5f2b37f89592d303fd3d228942b837e158d04ac2

Observation f4b1c81a-2369-40b7-9137-05368fc859e2 · outbound

This paper cites Multiscale simulations of biological membranes: The challenge to understand biological phenomena in a living substance.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Multiscale simulations of biological membranes: The challenge to understand biological phenomena in a living substance

Reference 10

Resolution
verified exact
doi, observed 2026-08-06T18:48:08.402758Z

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.

source=pdf_text observed=2026-08-06T18:48:00.510227Z digest=sha256:00dde7f329cf5d75f20720dd9099bc2160a22dfb292277a58b3056124063d851

Observation 52010c06-3896-433e-a319-8c21471246b8 · outbound

This paper cites Multiscale modelling and simulation: a position pa- per.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Multiscale modelling and simulation: a position pa- per

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.485844Z

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.

source=pdf_text observed=2026-08-06T18:48:00.604040Z digest=sha256:320b462759008b6f7287418fd73b1d2dfa6f52bfee3393d80404588ef8119bb4

Observation b13d8e1c-ddc3-46ca-a9c4-db144ccae1c5 · outbound

This paper cites Stansfeld and Mark S.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Stansfeld and Mark S

Reference 12

Resolution
verified exact
doi, observed 2026-08-06T18:48:08.252857Z

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.

source=pdf_text observed=2026-08-06T18:48:00.682316Z digest=sha256:8c5d0e2d22f0816b0d8a71d3948999a9201e2a6337dd5d2dd9674f252781a5a8

Observation 5dc86c3d-373d-46ee-bc99-c4df120a7784 · outbound

This paper cites Moon, Xiaohua Zhang, Joseph R.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Moon, Xiaohua Zhang, Joseph R

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.474491Z

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.

source=pdf_text observed=2026-08-06T18:48:00.791266Z digest=sha256:c703a210fb4a09580cd3dc9bc07fc71788a25382b63d87c8ca9d061e5ba3269e

Observation 5b066c84-a1f4-4165-b8fe-e97071a12571 · outbound

This paper cites Carpenter, Chris Neale, Sara Kokkila-Schumacher, Tomas Oppelstrup, Liam Stanton, Xiaohua Zhang, Shiv Sundram, Thomas R.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Carpenter, Chris Neale, Sara Kokkila-Schumacher, Tomas Oppelstrup, Liam Stanton, Xiaohua Zhang, Shiv Sundram, Thomas R

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.463325Z

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.

source=pdf_text observed=2026-08-06T18:48:00.915454Z digest=sha256:14094a4be210a6d4e4277888a04ec9df6f66492bf9c69944e12783ff3366ab7b

Observation 68927d30-ec39-447e-9ee6-54f070de361c · outbound

This paper cites Ingólfsson, Harsh Bhatia, Fikret Aydin, Tomas Oppelstrup, Cesar A.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Ingólfsson, Harsh Bhatia, Fikret Aydin, Tomas Oppelstrup, Cesar A

Reference 15

Resolution
verified exact
doi, observed 2026-08-06T18:48:11.452772Z

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.

source=pdf_text observed=2026-08-06T18:48:01.031840Z digest=sha256:e1f8235a2184a1de67e51db095830c0e0dbd4a1d8fed22441ca13e131f4aed02

Observation b30b2de7-8fd5-456a-85c0-fb20fff51a16 · outbound

This paper cites Multiscale scientific computation: Review 2001.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Multiscale scientific computation: Review 2001

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.434498Z

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.

source=pdf_text observed=2026-08-06T18:48:01.108409Z digest=sha256:fd2c7a0ac4b13f50d747d35a103226f7548be4070a7c385ed19708169edb0a0c

Observation c1fd3346-0fcc-4054-94cd-f4aef0b8e443 · outbound

This paper cites Hoekstra, and Joris Borgdorff.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Hoekstra, and Joris Borgdorff

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.397515Z

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.

source=pdf_text observed=2026-08-06T18:48:01.243077Z digest=sha256:5786f8768a8dafb39717c26bae1b3ec4492aab48c433a44f8a9178da0e869edb

Observation 3fa78eab-e35a-457f-887a-7bc1c55403e3 · outbound

This paper cites Roadmap on multiscale materials modeling.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Roadmap on multiscale materials modeling

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.382676Z

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.

source=pdf_text observed=2026-08-06T18:48:01.382282Z digest=sha256:7b430fba0fec333094eed11c97d89296fba4efda6a0dcb90e34f58693f61b2e3

Observation 7716abdb-b78c-4052-be85-a9774e26acd9 · outbound

This paper cites Ingólfsson, Chris Neale, Timothy S.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Ingólfsson, Chris Neale, Timothy S

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.371595Z

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.

source=pdf_text observed=2026-08-06T18:48:01.540407Z digest=sha256:ffd6462cd532a645ba353816e0d0bf3ab8a1bd90124c0098adb00480f1d16c1a

Observation af4d1d83-8ac8-4731-ba21-bf466a3d1c2d · outbound

This paper cites Multiscale simulation of soft matter systems – from the atomistic to the coarse-grained level and back.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Multiscale simulation of soft matter systems – from the atomistic to the coarse-grained level and back

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.360735Z

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.

source=pdf_text observed=2026-08-06T18:48:01.641091Z digest=sha256:e151aee2fc6324d732537c5e687c3e9d2538143a70012a9e1a3028f1f48b013e

Observation 033c8f39-f364-4402-9320-3f428ec63f90 · outbound

This paper cites Carpenter, Felice C.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Carpenter, Felice C

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.350380Z

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.

source=pdf_text observed=2026-08-06T18:48:01.787409Z digest=sha256:37154868fed8a9598e687a520e2d2f53ac399e4958fa8f7136e68a6ed1a3f3f3

Observation 64f69e86-7d10-4bb9-8dc0-7b23fd0c47eb · outbound

This paper cites Stephany, Jeremy O.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Stephany, Jeremy O

Reference 22

Resolution
verified exact
doi, observed 2026-08-06T18:48:08.089389Z

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.

source=pdf_text observed=2026-08-06T18:48:01.911848Z digest=sha256:946625bde3b1d5701e7fc300e744a0c53c1729fb7c9130d915a2df57b933aaeb

Observation 9d79d7d3-7b39-4110-9c8e-b4f50358203c · outbound

This paper cites an unresolved cited work.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:48:11.339603Z

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.

source=pdf_text observed=2026-08-06T18:48:01.980437Z digest=sha256:f3186da2fec1c7a941092956c477a04769ed68ca6a9c6dcaa825efd93ad78845

Observation 06df308b-ea9c-43d2-a2f7-8789bed486a9 · outbound

This paper cites Zuckerman and Lillian T.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Zuckerman and Lillian T

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.329153Z

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.

source=pdf_text observed=2026-08-06T18:48:02.048784Z digest=sha256:8360cf462802dc4a59cabab56075854191d957865f81e7062f5b3366f6b8b6c0

Observation aa5521e4-62bc-4f43-95d4-37164037a49e · outbound

This paper cites Carpenter, Helgi I.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Carpenter, Helgi I

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.318843Z

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.

source=pdf_text observed=2026-08-06T18:48:02.157977Z digest=sha256:2d9e2d6becde4cea25232e843bbbfc480af9efcfae9c3c78496bffec41dd5048

Observation 69cde5cf-3eb4-4087-afd8-a43da22153ae · outbound

This paper cites Exaworks: Workflows for exascale.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Exaworks: Workflows for exascale

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.308367Z

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.

source=pdf_text observed=2026-08-06T18:48:02.259735Z digest=sha256:c758890e265af87d1715b4a39565fd71abb37694504662011a538630f8a7fdc1

Observation ce5c1d22-0cee-409a-9283-e6139aacda3f · outbound

This paper cites Doe advanced scientific computing advisory subcommittee (ascac) report: top ten exascale research challenges.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Doe advanced scientific computing advisory subcommittee (ascac) report: top ten exascale research challenges

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.297819Z

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.

source=pdf_text observed=2026-08-06T18:48:02.388801Z digest=sha256:bd31bdf6d3012ecdab289a03f12c3a7197d16db55753d4fcdb6f49c51fa038e3

Observation a063ff81-32e2-4634-9805-0f0bac7403ad · outbound

This paper cites Generalized-ensemble algorithms: enhanced sampling techniques for monte carlo and molecular dynamics simulations.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Generalized-ensemble algorithms: enhanced sampling techniques for monte carlo and molecular dynamics simulations

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.286632Z

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.

source=pdf_text observed=2026-08-06T18:48:02.497454Z digest=sha256:07ef5c719fce0def6f68b148e32413b284e7993041fa1d7b0d985ba2583725df

Observation 21fcc36c-b06e-4d4d-b20c-7ff91993cef1 · outbound

This paper cites Performance assessment of ensembles of in situ workflows under resource constraints.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Performance assessment of ensembles of in situ workflows under resource constraints

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.275713Z

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.

source=pdf_text observed=2026-08-06T18:48:02.632161Z digest=sha256:001ef7692bc620f5cd0b9cd81ec5018a727af08bdf4ad309088bcf418fc47b3f

Observation 5c8b7c9e-0126-448b-8ee5-0b37b5b39af9 · outbound

This paper cites Elsa: An efficient, adaptive ensemble learning-based sampling approach.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Elsa: An efficient, adaptive ensemble learning-based sampling approach

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.264593Z

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.

source=pdf_text observed=2026-08-06T18:48:02.749679Z digest=sha256:1f777fea9ed01ba074857bbac4ce7852acc6ef114d19da30438d6e1c639991cb

Observation b74ff2d6-bebc-4e00-85f8-dd11badb6502 · outbound

This paper cites Phillips, Klaus Schulten, and Christophe Chipot.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Phillips, Klaus Schulten, and Christophe Chipot

Reference 31

Resolution
verified exact
doi, observed 2026-08-06T18:48:07.951001Z

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.

source=pdf_text observed=2026-08-06T18:48:02.854949Z digest=sha256:db13a68d58b0567fd01dd29658a436554a0b860a271485a5e2de515e5b852fe9

Observation cb01fff4-7ea6-45ac-ad22-d3a77b3b79ad · outbound

This paper cites Sumpter, Ondrej Dyck, Sergei V.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Sumpter, Ondrej Dyck, Sergei V

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.253543Z

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.

source=pdf_text observed=2026-08-06T18:48:02.947953Z digest=sha256:3c0d9016c242be7797dac2266b235eee661fbe29bfd0a077ed813909d92e333f

Observation 33ed771d-73b1-45de-8400-a7c4187f3930 · outbound

This paper cites Ai-driven multiscale simulations illuminate mechanisms of sars-cov-2 spike dynamics.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Ai-driven multiscale simulations illuminate mechanisms of sars-cov-2 spike dynamics

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.242424Z

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.

source=pdf_text observed=2026-08-06T18:48:03.052453Z digest=sha256:e4a91a93ea49c89a24465b135ac6b0737269c9df848586fcbb48f8ba553294d7

Observation c2450e10-7ce1-4b25-a23e-7424a8117b65 · outbound

This paper cites Transparent in situ data transformations in adios.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Transparent in situ data transformations in adios

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.231904Z

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.

source=pdf_text observed=2026-08-06T18:48:03.149078Z digest=sha256:7c899e9420a76af542c6bf7517d5537402b4f1cb5fee9e890653fa8c32e7e389

Observation 0f11f8d1-e958-4414-b57b-9ea51ddf24c6 · outbound

This paper cites In-situ processing and visualization for ultrascale simulations.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience In-situ processing and visualization for ultrascale simulations

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.220487Z

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.

source=pdf_text observed=2026-08-06T18:48:03.248818Z digest=sha256:af39acce82a856a90c5d492c533dd15f77880a0a4083ff836ae64924edead968

Observation ddf30315-95db-4ae1-81f7-00010d0693e5 · outbound

This paper cites In situ methods, infrastructures, and applications on high performance computing platforms.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience In situ methods, infrastructures, and applications on high performance computing platforms

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.209079Z

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.

source=pdf_text observed=2026-08-06T18:48:03.343129Z digest=sha256:6322c40dd29aa07027b815f2ff4e5335dafa16c97a4f0f6714b0d9dbfa046d15

Observation 0d47c797-1966-470d-a35f-637efd5b90ed · outbound

This paper cites Accelerating scientific workflows on hpc platforms with in situ processing.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Accelerating scientific workflows on hpc platforms with in situ processing

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.198598Z

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.

source=pdf_text observed=2026-08-06T18:48:03.479872Z digest=sha256:eaa92b471a5ae6727d73e733a9bde3f7ef4c8107374bb0963b6f3aab56cea4c2

Observation 9d922beb-9c72-402c-9eac-eaf8ea486ea8 · outbound

This paper cites Combining in-situ and in-transit processing to enable extreme-scale scientific analysis.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Combining in-situ and in-transit processing to enable extreme-scale scientific analysis

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.188002Z

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.

source=pdf_text observed=2026-08-06T18:48:03.584203Z digest=sha256:edf04006f24a683fff5399bf5fd70deb93b2cb349b5c83f9fdaa8d6910b31192

Observation 18b5278a-1f4f-42a0-a855-804e10aceeac · outbound

This paper cites Ensemble toolkit: Scalable and flexible execution of ensembles of tasks.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Ensemble toolkit: Scalable and flexible execution of ensembles of tasks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.177482Z

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.

source=pdf_text observed=2026-08-06T18:48:03.640545Z digest=sha256:14e08dcac7e0f2f169196a26aef0be14456ebcc14bedaf96f51422565866b37f

Observation 069bbfd3-60e1-4bed-89c3-9847f5595c63 · outbound

This paper cites Enabling machine learning-ready hpc ensembles with merlin.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Enabling machine learning-ready hpc ensembles with merlin

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.166256Z

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.

source=pdf_text observed=2026-08-06T18:48:03.737800Z digest=sha256:7fc5e7005e4eb46fb32bf9f55512c38aaa7e961b01f318fb40fb7f6153c1cb77

Observation 39214734-bbdb-4740-9895-38b4871d5a15 · outbound

This paper cites Tran, Albert H.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Tran, Albert H

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.155823Z

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.

source=pdf_text observed=2026-08-06T18:48:03.838822Z digest=sha256:99b50ecfcff21b11d0a338a09209b63c1697995599dc61463e0979d15d76f102

Observation 225bd4ec-c53c-4d88-bcba-bcb05aef9d6e · outbound

This paper cites an unresolved cited work.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Unresolved cited work

Reference 42

Resolution
verified exact
doi, observed 2026-08-06T18:48:07.649609Z

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.

source=pdf_text observed=2026-08-06T18:48:03.942735Z digest=sha256:4db62bbcb7394feed6cbc90b838afca11fcba448c2924a25dbcd394f6a4e52d1

Observation ba7cf806-92b9-4d43-87ca-33dbe006ff9f · outbound

This paper cites an unresolved cited work.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Unresolved cited work

Reference 43

Resolution
verified exact
doi, observed 2026-08-06T18:48:11.145258Z

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.

source=pdf_text observed=2026-08-06T18:48:04.045752Z digest=sha256:9ca375dd591f2dc07f0e19348146cfd38713d450d7b138b7fc0d6cafe93fb66e

Observation 30c6ddd8-0192-4e1f-ba80-2092737add6e · outbound

This paper cites Tackling exascale software challenges in molecular dynamics simulations with gromacs.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Tackling exascale software challenges in molecular dynamics simulations with gromacs

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.134395Z

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.

source=pdf_text observed=2026-08-06T18:48:04.148877Z digest=sha256:dbc2f268dea42d1d31638c33564271fa94faa533999961290194a9428a218aa9

Observation e77fdee1-da74-4fd6-809b-337034bff52e · outbound

This paper cites Carpenter, Tomas Oppelstrup, Xiaohua Zhang, Peer-Timo Bremer, Fred Streitz, Felice C.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Carpenter, Tomas Oppelstrup, Xiaohua Zhang, Peer-Timo Bremer, Fred Streitz, Felice C

Reference 45

Resolution
verified exact
doi, observed 2026-08-06T18:48:07.415644Z

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.

source=pdf_text observed=2026-08-06T18:48:04.256217Z digest=sha256:2219a3c5d8bce845482611395820fdb69551123e1ce81bc7193f2ad347785de3

Observation 9989ac80-ad10-460d-8fd3-194d3d5c3e24 · outbound

This paper cites Klepeis, Kresten Lindorff-Larsen, Ron O.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Klepeis, Kresten Lindorff-Larsen, Ron O

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.123486Z

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.

source=pdf_text observed=2026-08-06T18:48:04.358222Z digest=sha256:927c7ce3e94a9ae750da09570c7d95005a2b0df014f9c450462b6fa9daee4d4c

Observation af7e2a30-2a39-4030-9783-7c8204957f07 · outbound

This paper cites Lammps-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Lammps-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.111709Z

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.

source=pdf_text observed=2026-08-06T18:48:04.458016Z digest=sha256:f1841472f35b2cc7e14bbe801530c7ceaa6eef8a06a26a1a6fd2fa82a9e76865

Observation 378eb9dd-d5b9-4ee1-a22b-517dcfe7b0a9 · outbound

This paper cites Lyman, J.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Lyman, J

Reference 48

Resolution
verified exact
doi, observed 2026-08-06T18:48:07.247106Z

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.

source=pdf_text observed=2026-08-06T18:48:04.568940Z digest=sha256:ec08e2c7ac8b31b21ac94f73b9daea4c2375a642171d9ad1071ee6645814dec2

Observation b5c2d3dc-e6ab-4eac-840c-9780936fe346 · outbound

This paper cites Zhang, L.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Zhang, L

Reference 49

Resolution
verified exact
doi, observed 2026-08-06T18:48:11.100508Z

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.

source=pdf_text observed=2026-08-06T18:48:04.691455Z digest=sha256:53d03f1679d51d89832f1610ff260fcade61b8ce87aff8c507811259af5b2bd2

Observation d013b0d1-134d-4a53-8c9a-e719e5e3f3a2 · outbound

This paper cites Oppelstrup, L.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Oppelstrup, L

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:11.089667Z

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.

source=pdf_text observed=2026-08-06T18:48:04.774737Z digest=sha256:73c97e52bc09b24795d004689513f9cf100d83a345b25220e9eed2addbec7348

Observation 55860e2a-b023-45d7-b20b-c33fc9b11485 · outbound

This paper cites an unresolved cited work.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:48:11.023108Z

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.

source=pdf_text observed=2026-08-06T18:48:04.863869Z digest=sha256:f0b4e3d45ab521cdff8198579a8c82d396d6eb83436e3eecbf26a3bee682f818

Observation ecef4b65-2835-485c-9ecc-2544ea97752d · outbound

This paper cites an unresolved cited work.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:48:10.736070Z

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.

source=pdf_text observed=2026-08-06T18:48:04.934800Z digest=sha256:0fd0650e363595660cf30b67151e357f2748f62211a36c3d22847e2233fc1858

Observation 8298edc5-1163-4a06-bb92-c4aa6b6fa23b · outbound

This paper cites Ingólfsson, Harsh Bhatia, Talia Zeppelin, W.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Ingólfsson, Harsh Bhatia, Talia Zeppelin, W

Reference 53

Resolution
verified exact
doi, observed 2026-08-06T18:48:07.106088Z

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.

source=pdf_text observed=2026-08-06T18:48:05.050593Z digest=sha256:c00691f7f7899d1d7ee2bd01856bee0ab44dbe5803a0ca1405e935f4c2fa6020

Observation 52de9ef1-2faf-45b4-a8a9-cd4f9a07846b · outbound

This paper cites an unresolved cited work.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Unresolved cited work

Reference 54

Resolution
verified exact
doi, observed 2026-08-06T18:48:06.871106Z

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.

source=pdf_text observed=2026-08-06T18:48:05.134338Z digest=sha256:92616ba0f3014123315e01c364999c7fc825013adf3ad3c5f4b580746f032707

Observation 097d79fb-a41a-4996-a134-46ef79f37d0b · outbound

This paper cites Wassenaar, Helgi I.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Wassenaar, Helgi I

Reference 55

Resolution
verified exact
doi, observed 2026-08-06T18:48:06.619897Z

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.

source=pdf_text observed=2026-08-06T18:48:05.227182Z digest=sha256:c646950376320ffd40bdf160308d23ddbe63e29f542a7183ab9a897333cccf45

Observation 88f8f922-cbfa-49ab-bc31-26543f4240f2 · outbound

This paper cites RabbitMQ in action: distributed messaging for everyone.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience RabbitMQ in action: distributed messaging for everyone

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:10.461969Z

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.

source=pdf_text observed=2026-08-06T18:48:05.285299Z digest=sha256:3294cc44fc18594cd4666457cc076a3e72a71aa88330125acbd91bd835f4e538

Observation 9bc9c1c0-022c-47a8-9596-f7cfe9148b64 · outbound

This paper cites Maestro workflow conductor.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Maestro workflow conductor

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:10.242679Z

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.

source=pdf_text observed=2026-08-06T18:48:05.378950Z digest=sha256:a7169ef603dba50f6eabd9b167841d8ab7b06224db6203cd6bed1bca41eac550

Observation cbd6306a-929d-46e1-8344-5919f197891a · outbound

This paper cites Slurm: Simple linux utility for resource management.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Slurm: Simple linux utility for resource management

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:10.067032Z

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.

source=pdf_text observed=2026-08-06T18:48:05.441340Z digest=sha256:ae5141bde7df0004ad076fdb3e2f175f1c720744a72c441427fbda5f3dba8b9f

Observation 52bbd291-6123-4481-9af5-e62f4c0ab83f · outbound

This paper cites Scalable, fault-tolerant job step management for high performance systems.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Scalable, fault-tolerant job step management for high performance systems

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:09.930140Z

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.

source=pdf_text observed=2026-08-06T18:48:05.503555Z digest=sha256:1578f632b0a2fc8ac79a2f8e874c3b0fdf16ff4ad44db4cdb3672b6cded7a6bf

Observation 48f3cf1e-6eb3-4115-83fa-0c23d2d4f196 · outbound

This paper cites Flux: Overcoming scheduling challenges for exascale workflows.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Flux: Overcoming scheduling challenges for exascale workflows

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:09.799079Z

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.

source=pdf_text observed=2026-08-06T18:48:05.592121Z digest=sha256:ce3d4c9e148b0dcc0f16478c3e4be7c3459d0099b626aaaf73f528d2ac3248b0

Observation 8b8fb61a-4a7d-4a5d-aef0-0140ae1f9668 · outbound

This paper cites Resilience-aware resource management for exascale computing systems.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Resilience-aware resource management for exascale computing systems

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:09.648761Z

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.

source=pdf_text observed=2026-08-06T18:48:05.689237Z digest=sha256:e0671a17bf020921308348e60973f718de4d7b39b45adb386439c8dc4fe0ea96

Observation 549bd291-474f-497d-81b6-7e793fc534ea · outbound

This paper cites The spack package manager: bringing order to hpc software chaos.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience The spack package manager: bringing order to hpc software chaos

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:09.476108Z

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.

source=pdf_text observed=2026-08-06T18:48:05.852476Z digest=sha256:4eb06da28c6b3c4725e7a310ac3de0b69a0c0e0aabb05e8a7c577048de18a720

Observation a4a0df24-b8ab-46f5-a252-0e639323d330 · outbound

This paper cites Streitz, James N.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Streitz, James N

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:09.337455Z

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.

source=pdf_text observed=2026-08-06T18:48:05.927589Z digest=sha256:e92dcbb95e9ce5e3b30b18d4a39c2de13fb09047014b01aff9e347a081fabc9b

Observation 71673210-34c3-4f0f-b3ef-9ba032fb5ba6 · outbound

This paper cites an unresolved cited work.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:48:09.200421Z

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.

source=pdf_text observed=2026-08-06T18:48:05.995329Z digest=sha256:9bcb592534fea3f8f2a727c5795b10529a42479938810f3dffe96ea21a88aa38

Observation 25772476-e90b-468c-93e0-f87a8b2ee4ac · outbound

This paper cites Redis in Action.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Redis in Action

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:09.023487Z

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.

source=pdf_text observed=2026-08-06T18:48:06.074661Z digest=sha256:a335098888f06882a159749ab09b81ba71f27aa6088fb80aba061eeda36b3452

Observation 49a1e944-c164-4e82-9326-1875c5c1b412 · outbound

This paper cites Container utilization at doe compute facilities.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience Container utilization at doe compute facilities

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:08.852750Z

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.

source=pdf_text observed=2026-08-06T18:48:06.157649Z digest=sha256:40eb827fe143ec808639dfe2b8125460ffb0d9269b95155209b19741415543ff

Observation 3817a437-573c-481f-869b-82621b8b0d98 · outbound

This paper cites O’Reilly Media, Inc.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience O’Reilly Media, Inc

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:08.716480Z

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.

source=pdf_text observed=2026-08-06T18:48:06.265704Z digest=sha256:a2c3de79e22301b1b4883e05cd6c9e47f03b4e7b8b7e32744f884361d4b2d9cc

Observation 880fec8c-d20f-4ec5-80da-68268a68356a · outbound

This paper cites One step closer to converged computing: Achieving scalability with cloud-native hpc.

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience One step closer to converged computing: Achieving scalability with cloud-native hpc

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:08.578227Z

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.

source=pdf_text observed=2026-08-06T18:48:06.430445Z digest=sha256:26d635b51eff7fbdddd947317cf905ed3484aceb2cd744a7c0572ab30a8470ff

Pith citing papers

No inbound Pith citation observations are available.