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Paper Citation Record · LEDGER

Solving Einstein equations using deep learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.07397.

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

pith.paper-citation-record.v1
2309.07397 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:29:15.831660Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:19:56.263177Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 9a9e6c5c-c65c-4688-a3e4-1d3ad9793185 · inbound

Applications of machine learning in gravitational wave research with current interferometric detectors cites this paper.

Applications of machine learning in gravitational wave research with current interferometric detectors Solving Einstein equations using deep learning

Reference 258

Resolution
unresolved
no resolver link, observed 2026-08-11T11:42:50.709004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:42:50.709004Z digest=sha256:502443fd7b40f3d7b64729c6b339e2376fef71581d6334dd30a777ce555c8f5e

Observation 1ad3b75b-2efe-4f47-90db-0e533e6d7948 · inbound

Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model cites this paper.

Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model Solving Einstein equations using deep learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-03T08:12:15.766349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:12:15.766349Z digest=sha256:5d28281808e9048f5a0ea0edeb094291cd502a21cc6e456f5d68367f6fb91972

Observation ae1010be-b030-4ee3-ba52-d0a629f79a67 · inbound

Unified Entropic Dynamics Framework for Classical, and Quantum Wave Equations cites this paper.

Unified Entropic Dynamics Framework for Classical, and Quantum Wave Equations Solving Einstein equations using deep learning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:19:56.265352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T01:46:12.900377Z digest=sha256:ead33baec6bd969dc040144a75de43da173686cd201124bef883f5d008c6e7e3

Observation 1607b1f9-7ff8-4451-a3e7-c391c3e6eed8 · inbound

Solving Einstein's Vacuum Equations with Physics-Informed Neural Networks: Boundary Conditions and Domain Decomposition cites this paper.

Solving Einstein's Vacuum Equations with Physics-Informed Neural Networks: Boundary Conditions and Domain Decomposition Solving Einstein equations using deep learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T04:29:15.831660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:29:15.831660Z digest=sha256:12d4ffd70cd1e330c8d32d31e69f1104d1311ae615902f34c7fabd93fe20ab3d