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Paper Citation Record · LEDGER

Quantum field-theoretic machine learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.09449.

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

pith.paper-citation-record.v1
2102.09449 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:15:54.498472Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T06:01:11.945315Z

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 163e5482-e533-475f-a5b8-a74a821a3587 · inbound

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics cites this paper.

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Quantum field-theoretic machine learning

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-10T21:15:54.498472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:54.498472Z digest=sha256:4613791f1b592bf6b163b4d2ab138033638b1dea318ef8db843f551bc16da92c

Observation 272e6815-8dda-4bee-9b82-f7d72930e711 · inbound

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

Criticality analysis of nuclear binding energy neural networks Quantum field-theoretic machine learning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T06:01:11.949994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T06:01:11.557147Z digest=sha256:42a431efbf102bce22beca4301d2444fb04bf40c0a2984219a0a08ed456fb953