Paper Citation Record · LEDGER

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.11100.

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

pith.paper-citation-record.v1
2506.11100 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:05:16.254539Z

measured 26 of 26 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

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ee2faf8-0ce0-4fa0-aceb-08842a7cc969 · outbound

This paper cites Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.600583Z

Source-reported events for the cited work

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Observation 83148a2d-daae-400b-a552-98dd28b1e2e4 · outbound

This paper cites Machine Learning-Assisted Insight into Spin Ice Dy2Ti2O7,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Machine Learning-Assisted Insight into Spin Ice Dy2Ti2O7,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.588603Z

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Observation 67b231e8-897b-49ee-88c5-2155bab8eb08 · outbound

This paper cites A Machine Learning Approach to Magnetic Neutron Scatter- ing,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry A Machine Learning Approach to Magnetic Neutron Scatter- ing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.576735Z

Source-reported events for the cited work

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Observation 6487ebae-88f9-4449-97f9-642967f03b62 · outbound

This paper cites Unsuper- vised Machine Learning of Single Crystal X-ray Diffrac- tion Data,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Unsuper- vised Machine Learning of Single Crystal X-ray Diffrac- tion Data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.565515Z

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Observation 4323dfff-c6b9-4239-81cd-bfafde42d3c3 · outbound

This paper cites Using Ma- chine Learning to Predict Local Chemical Environments from X-ray Absorption Spectra,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Using Ma- chine Learning to Predict Local Chemical Environments from X-ray Absorption Spectra,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.553700Z

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 39efe90d-ca56-414b-afac-c137f18e44c5 · outbound

This paper cites Machine learning and big scientific data,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Machine learning and big scientific data,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.541738Z

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 6c2bc2b6-b07b-4625-a1df-929e270dd394 · outbound

This paper cites Learning to predict material struc- ture from neutron scattering data,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Learning to predict material struc- ture from neutron scattering data,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.529803Z

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 213a2078-7f66-4ddd-a2ec-bb7b62b981a0 · outbound

This paper cites Using multi-resolution data to accelerate neural network training in scientific ap- plications,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Using multi-resolution data to accelerate neural network training in scientific ap- plications,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.518207Z

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 cd0f7c14-a022-4ff5-be8c-a4702fb8b4e2 · outbound

This paper cites Co- design Center for Exascale Machine Learning Technologies (ExaLearn),.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Co- design Center for Exascale Machine Learning Technologies (ExaLearn),

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.506191Z

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 43d87f58-8de0-44a1-a08d-832c9909c01f · outbound

This paper cites Machine Learning and Density Functional Theory,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Machine Learning and Density Functional Theory,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.494848Z

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 6327f215-3344-4a3f-a2d0-8f69e75be6a5 · outbound

This paper cites Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.483345Z

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 4780be77-9f77-4b4f-b1a2-b979120f248b · outbound

This paper cites Pushing the Limit of Molecular Dynamics with Ab Initio Accuracy to 100 Million Atoms with Machine Learning,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Pushing the Limit of Molecular Dynamics with Ab Initio Accuracy to 100 Million Atoms with Machine Learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.471966Z

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 485411aa-31be-43b1-a00c-1ebbe6097f23 · outbound

This paper cites Using Pilot Systems to Execute Many Task Workloads on Supercomputers.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Using Pilot Systems to Execute Many Task Workloads on Supercomputers

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T06:05:16.312970Z

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 c053c2d1-e49e-49c9-8d50-376a59e7b4b1 · outbound

This paper cites Colmena: Scalable Machine Learning-Based Steering of Ensemble Simulations for High Performance Computing,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Colmena: Scalable Machine Learning-Based Steering of Ensemble Simulations for High Performance Computing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.460400Z

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 9fa5e880-6bf3-4b87-a2a6-36b04eee387a · outbound

This paper cites Using Machine Learning at Scale in Numerical Simulations with SmartSim: An Application to Ocean Climate Modeling,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Using Machine Learning at Scale in Numerical Simulations with SmartSim: An Application to Ocean Climate Modeling,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.448465Z

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 511ef645-441b-471b-a143-ebc47dd43254 · outbound

This paper cites Gaussian Processes for Autonomous Data Acquisition at Large-Scale Synchrotron and Neutron Facilities,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Gaussian Processes for Autonomous Data Acquisition at Large-Scale Synchrotron and Neutron Facilities,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.436651Z

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 ded6e105-a0e5-4a21-85ef-5e063d8af9fe · outbound

This paper cites On-the-fly Autonomous Control of Neutron Diffraction via Physics-Informed Bayesian Active Learning,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry On-the-fly Autonomous Control of Neutron Diffraction via Physics-Informed Bayesian Active Learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.424697Z

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 6ae6bea9-1675-4814-aff5-cbc5ebb58535 · outbound

This paper cites Active Learning-Assisted Neutron Spectroscopy with Log- Gaussian Processes,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Active Learning-Assisted Neutron Spectroscopy with Log- Gaussian Processes,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.412094Z

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 26975df6-0e31-458b-aec2-29ea020c8d72 · outbound

This paper cites A Sequential Algorithm for Training Text Classifiers,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry A Sequential Algorithm for Training Text Classifiers,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.400233Z

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 ef76ee01-472d-4540-8913-bc44e5feef65 · outbound

This paper cites Uncer- 10 tainty Quantification for Deep Learning Regression Models in the Low Data Limit,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Uncer- 10 tainty Quantification for Deep Learning Regression Models in the Low Data Limit,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.388499Z

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 1c69dc48-d562-4417-97a7-f3de39ebff3f · outbound

This paper cites Active Learning Query Strategies for Classification, Regression, and Clustering: A Survey,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Active Learning Query Strategies for Classification, Regression, and Clustering: A Survey,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.376102Z

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 91855a01-326d-42e5-b65e-fd6774d8b0fe · outbound

This paper cites H ¨ormann, J.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry H ¨ormann, J

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.363539Z

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 e6ea7826-428a-4e29-8333-043b31922d06 · outbound

This paper cites GSAS-II: The Genesis of a Modern Open-Source All Purpose Crystallography Software Package,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry GSAS-II: The Genesis of a Modern Open-Source All Purpose Crystallography Software Package,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.350730Z

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 669e9955-9196-4cc3-abd4-d85ad5a292a3 · outbound

This paper cites Cross-Entropy Loss Functions: Theoretical An/alysis and Applications,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Cross-Entropy Loss Functions: Theoretical An/alysis and Applications,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.338312Z

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 00102c31-4247-4054-a846-8a271ecbc14a · outbound

This paper cites Analyzing the Performance of Deep Encoder-Decoder Networks as Surrogates for a Diffusion Equation.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Analyzing the Performance of Deep Encoder-Decoder Networks as Surrogates for a Diffusion Equation

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T06:05:16.293941Z

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 acf9fac9-c724-4f79-8a01-4f313ea4648e · outbound

This paper cites THEIA: An Advanced Optical Neutrino Detector,.

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry THEIA: An Advanced Optical Neutrino Detector,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:16.325534Z

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.

Pith citing papers

No inbound Pith citation observations are available.