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Paper Citation Record · LEDGER

EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.13925.

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

pith.paper-citation-record.v1
2407.13925 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:09:19.417320Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:50:54.858625Z

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 40b663ea-acb1-462b-8b97-ed8421049e62 · inbound

Physics and Computing Performance of the EggNet Tracking Pipeline cites this paper.

Physics and Computing Performance of the EggNet Tracking Pipeline EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:09:19.417320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:09:19.417320Z digest=sha256:6587a93df9b6993760b1ee58f23d5075eb851f2769e7c0ff5b4c8a0cd95ed0f6

Observation 7cd6be87-cd21-418d-9167-09b9cab030b1 · inbound

FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics cites this paper.

FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:50:54.864387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T20:50:52.275886Z digest=sha256:2fcef35b6478ef7ed79f02cbba73cba22cbb2740a41faf8cc1b6f17c9fb2473d