Paper Citation Record · LEDGER

Physics and Computing Performance of the EggNet Tracking Pipeline

As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.03415.

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

pith.paper-citation-record.v1
2506.03415 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:09:20.538044Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact1
verified fuzzy6
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f19adc6-0b5c-4536-b668-8e19b7501b4b · outbound

This paper cites Strandlie, R.

Physics and Computing Performance of the EggNet Tracking Pipeline Strandlie, R

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:18.686792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9561bc59-36a2-4e8e-8c15-a906b6cf5a80 · outbound

This paper cites Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2.

Physics and Computing Performance of the EggNet Tracking Pipeline Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:18.751448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e247bda-d1eb-4e21-95fb-258e2d253613 · outbound

This paper cites Description and performance of track and primary-vertex reconstruction with the CMS tracker.

Physics and Computing Performance of the EggNet Tracking Pipeline Description and performance of track and primary-vertex reconstruction with the CMS tracker

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:18.825369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72a753b4-162d-41d3-bfe3-bd41e24f5c55 · outbound

This paper cites Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking.

Physics and Computing Performance of the EggNet Tracking Pipeline Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-08-07T11:09:18.881330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a63cdf4c-4954-417d-93bb-ebeaa84d4506 · outbound

This paper cites Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC.

Physics and Computing Performance of the EggNet Tracking Pipeline Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:18.954097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cebab7c-9c66-4eaa-aa60-4b6f705da1b1 · outbound

This paper cites Caillou, P.

Physics and Computing Performance of the EggNet Tracking Pipeline Caillou, P

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:22.453719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4e16c82-d551-4eb3-a4de-677e04212f6c · outbound

This paper cites High Pileup Particle Tracking with Object Condensation.

Physics and Computing Performance of the EggNet Tracking Pipeline High Pileup Particle Tracking with Object Condensation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:19.200031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 880ecdd1-e537-4ec0-9f69-2b3c482ae58b · outbound

This paper cites Accelerating the Inference of the Exa.TrkX Pipeline.

Physics and Computing Performance of the EggNet Tracking Pipeline Accelerating the Inference of the Exa.TrkX Pipeline

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:09:20.872690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40b663ea-acb1-462b-8b97-ed8421049e62 · outbound

This paper cites EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction.

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.

Observation 4564f13a-a965-44a6-9b7d-f0d040e43223 · outbound

This paper cites The Tracking Machine Learning challenge : Accuracy phase.

Physics and Computing Performance of the EggNet Tracking Pipeline The Tracking Machine Learning challenge : Accuracy phase

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:19.516719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b59fb74-7a38-45c6-a80c-6e4e0a1df501 · outbound

This paper cites The Tracking Machine Learning challenge : Throughput phase.

Physics and Computing Performance of the EggNet Tracking Pipeline The Tracking Machine Learning challenge : Throughput phase

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:19.642567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69eb1edd-f2b5-458a-8dad-440aa7db7df3 · outbound

This paper cites Ester, H.P.

Physics and Computing Performance of the EggNet Tracking Pipeline Ester, H.P

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:22.222785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a947d75-4e86-445e-a88e-bdf17a8a4eca · outbound

This paper cites Elfwing, E.

Physics and Computing Performance of the EggNet Tracking Pipeline Elfwing, E

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:19.878339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acffb3e2-6f7d-449e-8c7a-1de2d2391832 · outbound

This paper cites Layer Normalization.

Physics and Computing Performance of the EggNet Tracking Pipeline Layer Normalization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:20.008552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9432c27-7fd7-4e1f-873b-5cf19a4f4cac · outbound

This paper cites Paszke, S.

Physics and Computing Performance of the EggNet Tracking Pipeline Paszke, S

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:21.950975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a71d318-11ba-4c12-9334-ddfaf6a03a68 · outbound

This paper cites Falcon, The PyTorch Lightning team, PyTorch Lightning (2019),https:// github.com/Lightning-AI/lightning.

Physics and Computing Performance of the EggNet Tracking Pipeline Falcon, The PyTorch Lightning team, PyTorch Lightning (2019),https:// github.com/Lightning-AI/lightning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:21.660976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd06198e-b7b7-4a53-ab4d-002e571e9e96 · outbound

This paper cites Atkinson, S.

Physics and Computing Performance of the EggNet Tracking Pipeline Atkinson, S

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:21.414268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a49cf7ca-2f65-4108-86d4-49f283095e1e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Physics and Computing Performance of the EggNet Tracking Pipeline Adam: A Method for Stochastic Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:20.398008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3914c4da-bb5c-44f2-9988-000d8ca4a301 · outbound

This paper cites Team, RAPIDS: Libraries for End to End GPU Data Science (2023),https: //rapids.ai.

Physics and Computing Performance of the EggNet Tracking Pipeline Team, RAPIDS: Libraries for End to End GPU Data Science (2023),https: //rapids.ai

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:21.094219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.