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Paper Citation Record · LEDGER

Why is AI hard and Physics simple?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.00008.

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

pith.paper-citation-record.v1
2104.00008 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T06:01:11.527400Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:46:51.871439Z

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 850d0680-b6e0-493c-8303-fae2c8ad4259 · inbound

Criticality analysis of nuclear binding energy neural networks cites this paper.

Criticality analysis of nuclear binding energy neural networks Why is AI hard and Physics simple?

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T06:01:11.527400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T06:01:11.527400Z digest=sha256:3ef4791d76cbb208d099650b4283881a63a449ba5a990c8921ad0bb6991ba646

Observation be7bec01-abc8-43cd-8870-c9e86bfe1b31 · inbound

Gauge-covariant stochastic neural fields: Stability and finite-width effects cites this paper.

Gauge-covariant stochastic neural fields: Stability and finite-width effects Why is AI hard and Physics simple?

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:46:51.874616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T21:45:08.119232Z digest=sha256:ac8fb27538848ab2f4e2d3651218fabb96e8c11d64356544da63f47dd995155f