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Paper Citation Record · LEDGER

Equivariant, Safe and Sensitive -- Graph Networks for New Physics

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.12449.

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

pith.paper-citation-record.v1
2402.12449 v3

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:30:19.769014Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:51:02.237282Z

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 3499d7b4-3c44-4a05-a681-830e1778a5e8 · inbound

Transformer networks for Heavy flavor jet tagging cites this paper.

Transformer networks for Heavy flavor jet tagging Equivariant, Safe and Sensitive -- Graph Networks for New Physics

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-12T18:30:19.769014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:30:19.769014Z digest=sha256:16d6c0701e17db066999b0ae2dd3812eaaec2d441ce2a1edad2a94212d6ae01e

Observation 8bc82265-70ce-4a6b-bde6-2b8e2e8067df · inbound

Reconstructing the Invisible Fraction of Semi-visible Jets in ISR-Boosted Events via Neural Network Regression cites this paper.

Reconstructing the Invisible Fraction of Semi-visible Jets in ISR-Boosted Events via Neural Network Regression Equivariant, Safe and Sensitive -- Graph Networks for New Physics

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:51:02.240329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T00:30:36.339710Z digest=sha256:e2727bab091253497ecfc4c1731a6a9e794c13f5d49392d094e6c400d7f27eac