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Paper Citation Record · LEDGER

Deep learning lattice gauge theories

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.14830.

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

pith.paper-citation-record.v1
2405.14830 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 2026-08-10T14:01:08.986051Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:10:40.576074Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • 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 4d76bb9f-805a-4a2e-bf9a-07edca14b2d6 · inbound

Towards constraining QCD phase transitions in neutron star interiors: Bayesian Inference with TOV linear response analysis cites this paper.

Towards constraining QCD phase transitions in neutron star interiors: Bayesian Inference with TOV linear response analysis Deep learning lattice gauge theories

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:08.986051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:08.986051Z digest=sha256:f1ec577ca738bf949eca6a2258fc9d5bd356468cdb608a369157e0b545d1c4b9

Observation 1008d5d0-f6d7-4aa7-ae36-bfacfc1b1c79 · inbound

Machine Learning the 6d Supergravity Landscape cites this paper.

Machine Learning the 6d Supergravity Landscape Deep learning lattice gauge theories

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:10:40.613403Z

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=2026-08-07T15:10:30.571269Z digest=sha256:b6bb38fc36ce97f77d4e50c59ce61d571811eb3152541b6d3b451fd33c8a1e5e