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Paper Citation Record · LEDGER

Probing stop pair production at the LHC with graph neural networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1807.09088.

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

pith.paper-citation-record.v1
1807.09088 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:30:19.609765Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:24:16.040444Z

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 65ed6f97-4ef5-44b7-8229-c6d710963f88 · inbound

Transformer networks for Heavy flavor jet tagging cites this paper.

Transformer networks for Heavy flavor jet tagging Probing stop pair production at the LHC with graph neural networks

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-12T18:30:19.609765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:30:19.609765Z digest=sha256:deaaedaf65d9819a6c150264af96fae960f4da8e82a4a4cc444d09511088d480

Observation 7a90ae51-7de3-44d7-8c8b-3d26f66cb657 · inbound

Fingerprinting New Physics with Effective Field Theories cites this paper.

Fingerprinting New Physics with Effective Field Theories Probing stop pair production at the LHC with graph neural networks

Reference 243

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:24:16.044547Z

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=2026-08-10T20:24:15.175697Z digest=sha256:20038ee44fa1b5e50c1fc0abbd7edd243297564fcf8982676cbb2dfdebcd1253