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Paper Citation Record · LEDGER

Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.04585.

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

pith.paper-citation-record.v1
2503.04585 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:04:14.842180Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 175f5194-eb1f-4b48-9842-a2d9b5627c0d · inbound

Machine learning prediction of binary formation in three-body gravitational encounters cites this paper.

Machine learning prediction of binary formation in three-body gravitational encounters Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T20:04:14.842180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:04:14.842180Z digest=sha256:ad41107c6491c16855a76520be635d08735826939b9a9e611bcadd42c63996ed

Observation c9460ad0-70bd-45b2-a632-862542e56b9d · inbound

Physics-Informed Neural Networks for Discovering Periodic Orbits in the Gravitational Three-Body Problem cites this paper.

Physics-Informed Neural Networks for Discovering Periodic Orbits in the Gravitational Three-Body Problem Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-30T20:43:14.010318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T20:43:14.010318Z digest=sha256:cfe8afecb4b7d14264ce78b48a4ec0625f745454079275267fedc04971830306