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Paper Citation Record · LEDGER

Machine Learning with Physics Knowledge for Prediction: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.09840.

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

pith.paper-citation-record.v1
2408.09840 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:20:45.793651Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a9b51b42-bb4f-4c10-86eb-08250cea6953 · inbound

Drag modelling for flows through assemblies of spherical particles with machine learning: A comparison of approaches cites this paper.

Drag modelling for flows through assemblies of spherical particles with machine learning: A comparison of approaches Machine Learning with Physics Knowledge for Prediction: A Survey

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:45.793651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:20:45.793651Z digest=sha256:c74fb794738d4378b7de2e9c4152b5af33d54d7ac5b605e8663d4d62304ef3cd

Observation 56a512d2-1dfa-439f-a368-68c75dffcc02 · inbound

Physics-informed Conditional Normalizing Flows for Angles-only Cislunar Orbit Determination cites this paper.

Physics-informed Conditional Normalizing Flows for Angles-only Cislunar Orbit Determination Machine Learning with Physics Knowledge for Prediction: A Survey

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:15:26.475500Z

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=2026-07-01T06:10:09.011155Z digest=sha256:c495df8f4712b298eda30d627857e32b3300455328481ed147485d97ee0247c1