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Paper Citation Record · LEDGER

On scientific understanding with artificial intelligence

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.01467.

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

pith.paper-citation-record.v1
2204.01467 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:53:24.457093Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:53:15.428064Z

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 c2f3f4e4-061e-4219-a6f9-404b7505d63b · inbound

Discover physical concepts and equations with machine learning cites this paper.

Discover physical concepts and equations with machine learning On scientific understanding with artificial intelligence

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T17:53:24.457093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:53:24.457093Z digest=sha256:a7f413cabd27110ab09ffd15182d289d0c0fe7ff01d202612d32615fbf8214aa

Observation e703f4fd-c686-46a2-87ae-ab89e98847aa · inbound

Generative models on phase space cites this paper.

Generative models on phase space On scientific understanding with artificial intelligence

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:53:15.429695Z

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=2026-05-13T20:52:29.032797Z digest=sha256:ef1dd545206176217fbaa9df049149b612b8ee94ba0d367bd4a34587008aef47