Paper Citation Record · LEDGER

Machine learning and the physical sciences

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:1903.10563.

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

pith.paper-citation-record.v1
1903.10563 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:59:59.473533Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:20:00.712388Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 94a08f02-9b6a-4202-8986-e1288ac73fb1 · inbound

How to set up your first machine learning project in astronomy cites this paper.

How to set up your first machine learning project in astronomy Machine learning and the physical sciences

Reference 43

Resolution: malformed identifier; no resolver link, observed 2026-08-08T05:59:59.473533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c6eda9d-0f24-4b23-b115-80d2aad4fe80 · inbound

Vector Boson Fusion Signatures of Superheavy Majorana Neutrinos at Muon Colliders cites this paper.

Vector Boson Fusion Signatures of Superheavy Majorana Neutrinos at Muon Colliders Machine learning and the physical sciences

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:36.059582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dffca1ac-d1ba-4ac2-9f74-40dd9706dc11 · inbound

Solving two and three-body systems with deep neural networks cites this paper.

Solving two and three-body systems with deep neural networks Machine learning and the physical sciences

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T14:52:50.760682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9335fead-dbb3-4a78-b617-9c0c346094b0 · inbound

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities cites this paper.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Machine learning and the physical sciences

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:23.860556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07d4c1c9-06f6-4322-ace3-0eefc9754bd8 · inbound

Shedding Light on Dark Matter at the LHC with Machine Learning cites this paper.

Shedding Light on Dark Matter at the LHC with Machine Learning Machine learning and the physical sciences

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T16:19:44.734270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de974b84-30e4-47fb-8ad7-32ca9b86f448 · inbound

Gradient-Guided Furthest Point Sampling for Robust Training Set Selection cites this paper.

Gradient-Guided Furthest Point Sampling for Robust Training Set Selection Machine learning and the physical sciences

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T10:47:10.050346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38cf39bc-a887-45c1-8380-08990b3891be · inbound

Comprehensive Mass Predictions: From Triply Heavy Baryons to Pentaquarks cites this paper.

Comprehensive Mass Predictions: From Triply Heavy Baryons to Pentaquarks Machine learning and the physical sciences

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:40:25.277699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e7ae2bcf-9c75-43a9-bf45-9a55b0a18855 · inbound

Probing Proton Structure via Physics-Guided Neural Networks in Holographic QCD cites this paper.

Probing Proton Structure via Physics-Guided Neural Networks in Holographic QCD Machine learning and the physical sciences

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:48:08.188419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3820eef4-ca2a-41a7-a9f5-7fad78fc2451 · inbound

Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows cites this paper.

Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows Machine learning and the physical sciences

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:50:25.817466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a02f4ebe-5ef0-4f2c-83e3-07dd237bf96e · inbound

Neural network quantum states in the grand canonical ensemble cites this paper.

Neural network quantum states in the grand canonical ensemble Machine learning and the physical sciences

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:00:56.477003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c1c48c7-f940-47a2-8fa9-51198553477e · inbound

An AI-ready, Polarized Electron-Positron Collision Dataset cites this paper.

An AI-ready, Polarized Electron-Positron Collision Dataset Machine learning and the physical sciences

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:32:34.663190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 748781af-6cbe-43ba-80df-4748061fdd1d · inbound

Fully-heavy multiquarks in neural-network quantum states cites this paper.

Fully-heavy multiquarks in neural-network quantum states Machine learning and the physical sciences

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:20:00.714252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 33280cf4-311a-44d2-a226-692b5288f6d9 · inbound

NNStar: An end-to-end AI agent for nuclear matter and neutron star physics cites this paper.

NNStar: An end-to-end AI agent for nuclear matter and neutron star physics Machine learning and the physical sciences

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T03:23:35.572561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a92f2610-9326-4a49-b367-98fbab41e79e · inbound

Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders cites this paper.

Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders Machine learning and the physical sciences

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-31T05:57:07.224808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.