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Paper Citation Record · LEDGER

Recursive Neural Networks in Quark/Gluon Tagging

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1711.02633.

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

pith.paper-citation-record.v1
1711.02633 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 2026-08-12T18:30:19.467960Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T17:14:59.593208Z

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 63f4be7a-1835-4210-8772-0502942cb396 · inbound

Transformer networks for Heavy flavor jet tagging cites this paper.

Transformer networks for Heavy flavor jet tagging Recursive Neural Networks in Quark/Gluon Tagging

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T18:30:19.467960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:30:19.467960Z digest=sha256:5d983988ee461ab5fcbb0d34180016267c9accd22d2ca5e047b668e7426a9238

Observation 4d4f8a3e-c901-4041-8dd5-368b127556d4 · inbound

IAFormer: Interaction-Aware Transformer network for collider data analysis cites this paper.

IAFormer: Interaction-Aware Transformer network for collider data analysis Recursive Neural Networks in Quark/Gluon Tagging

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-22T17:14:59.595040Z

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=2026-05-22T17:13:47.293753Z digest=sha256:ed90659e1aed2afbbcb40bbad5dadfbe574e04f3f0ba767a6a2b7c65edfd2a23