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Paper Citation Record · LEDGER

Infrared Safety of a Neural-Net Top Tagging Algorithm

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1806.01263.

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

pith.paper-citation-record.v1
1806.01263 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:31:43.256001Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T11:29:07.271559Z

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 b19f0ae4-84ee-4703-be21-3d6f10a6b8cb · inbound

Mass Agnostic Jet Taggers cites this paper.

Mass Agnostic Jet Taggers Infrared Safety of a Neural-Net Top Tagging Algorithm

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:29:07.276533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:29:06.379227Z digest=sha256:2bef5a663e80597741912fd9893fa934be92894dddee9af296b2c81fe0a0cc4f

Observation 67e687d8-f79f-4820-b6be-778d73e78b39 · inbound

Graph theory inspired anomaly detection at the LHC cites this paper.

Graph theory inspired anomaly detection at the LHC Infrared Safety of a Neural-Net Top Tagging Algorithm

Reference 124

Resolution
unresolved
no resolver link, observed 2026-08-15T18:31:43.256001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:31:43.256001Z digest=sha256:b8af821dd952985ce11d0464a14dd2924e563cb8eecf5c2851785c38b97a7653