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Paper Citation Record · LEDGER

Universal New Physics Latent Space

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.20315.

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

pith.paper-citation-record.v1
2407.20315 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:49:33.917456Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c96a221d-9ecf-49f3-b4fe-c3d804eb13bc · inbound

Anomalous electroweak physics unraveled via evidential deep learning cites this paper.

Anomalous electroweak physics unraveled via evidential deep learning Universal New Physics Latent Space

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T10:49:33.917456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:49:33.917456Z digest=sha256:5d94f9195b646f1def69ae6b9fa2f70a4065c2121bc464ba3d1f96d1bf4eafe2

Observation 796d73a9-b836-42b6-a3b2-2f39ea1d4413 · inbound

DLScanner: A parameter space scanner package assisted by deep learning methods cites this paper.

DLScanner: A parameter space scanner package assisted by deep learning methods Universal New Physics Latent Space

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T00:08:53.022357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:08:53.022357Z digest=sha256:c18b4ed68c0d0d385af66e9395d3c87a23cc7752ea2317720b63d98a114392a5

Observation b349b2a8-694c-4cb9-aa67-88ec19778b3a · inbound

From stellar light to astrophysical insight: automating variable star research with machine learning cites this paper.

From stellar light to astrophysical insight: automating variable star research with machine learning Universal New Physics Latent Space

Reference 68

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T20:22:42.405605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T20:22:30.614222Z digest=sha256:741ab3a07b522ab396041ed7931a25f787cc61910d3e58113345b960ab95d148