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Paper Citation Record · LEDGER

Truth, beauty, and goodness in grand unification: a machine learning approach

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.06718.

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

pith.paper-citation-record.v1
2411.06718 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:47:06.129393Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T08:26:58.924505Z

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 06708a55-15c7-44c2-b0f1-fa91668204c4 · inbound

Good flavor search in SU(5): a machine learning approach cites this paper.

Good flavor search in SU(5): a machine learning approach Truth, beauty, and goodness in grand unification: a machine learning approach

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:30:28.654449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T18:29:34.124973Z digest=sha256:d004d7be91b8b5073b7f280da58de335648a3cea79e8eba329e0d88a0eb01e8d

Observation 468aeb22-8c0d-4969-a02f-8c7a19250e51 · inbound

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency cites this paper.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Truth, beauty, and goodness in grand unification: a machine learning approach

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-03T15:47:06.129393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:47:06.129393Z digest=sha256:f0066d24fca4c2745a44e478cbf192b559e2fefa8b55170091ebd89f409ea6f8

Observation 200d8408-fea7-4789-9447-bcbab625f880 · inbound

Optimizing Yukawa couplings to suppress Dimension-five Proton Decay in $SU(5)$ GUT cites this paper.

Optimizing Yukawa couplings to suppress Dimension-five Proton Decay in $SU(5)$ GUT Truth, beauty, and goodness in grand unification: a machine learning approach

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T13:35:46.554119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T22:58:41.412982Z digest=sha256:e63d68d9a441f65cc1d94ef0269c24185d67b4b039d6e0c8ba52d57bdfe5e291

Observation 28c66926-772c-4456-bcf7-e99394566dac · inbound

Revisiting One-Zero and Two-Zero Neutrino Mass Textures in Light of Recent Oscillation and Cosmological Data cites this paper.

Revisiting One-Zero and Two-Zero Neutrino Mass Textures in Light of Recent Oscillation and Cosmological Data Truth, beauty, and goodness in grand unification: a machine learning approach

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-10T08:26:58.925935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T08:20:11.011377Z digest=sha256:95f5995c99ca4dd51e57e7cf00fffe580a357f3e36010840f19fd2feb96fe2f3