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Paper Citation Record · LEDGER

Neural-network Density Functional Theory Based on Variational Energy Minimization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2403.11287.

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

pith.paper-citation-record.v1
2403.11287 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:08.808367Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:56:09.100609Z

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 ca613a3c-6bfe-4d55-a1f5-d34ff7350033 · inbound

Self-Refining Training for Amortized Density Functional Theory cites this paper.

Self-Refining Training for Amortized Density Functional Theory Neural-network Density Functional Theory Based on Variational Energy Minimization

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:56:09.103536Z

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=arxiv_source observed=2026-08-07T11:56:08.808367Z digest=sha256:79e067f03237faf0c5ffb0334e8f57f94a0c81ef09ef4dbdc0336d4b9abc84e6