Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Do graph neural networks learn traditional jet substructure?
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.09912.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:30:19.690284Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T05:51:27.903870Z
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 f738d49b-6fe7-4f43-86fc-a8e8806c918e · inbound
Transformer networks for Heavy flavor jet tagging cites this paper.
Transformer networks for Heavy flavor jet tagging Do graph neural networks learn traditional jet substructure?
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:30:19.690284Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6feb0a56-15c4-4788-94db-09e584c1824d · inbound
Interpreting Transformers for Jet Tagging cites this paper.
Interpreting Transformers for Jet Tagging Do graph neural networks learn traditional jet substructure?
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:17:30.765962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63f4d42b-328b-4e74-8c6b-49d87b114291 · inbound
Dissecting Jet-Tagger Through Mechanistic Interpretability cites this paper.
Dissecting Jet-Tagger Through Mechanistic Interpretability Do graph neural networks learn traditional jet substructure?
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:51:27.906241Z
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.