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Paper Citation Record · LEDGER

Physics and Computing Performance of the EggNet Tracking Pipeline

As of 19 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 2026-08-18T06:34:40.430872+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

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  • unresolved11
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  • malformed identifier1
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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

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source=pdf_text observed=2026-08-07T11:09:18.686792Z digest=sha256:6cb5fd0a29654f02a9b7baa56ac6bc49106da9b12725eac37e89accc2d881d9a

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

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source=pdf_text observed=2026-08-07T11:09:18.751448Z digest=sha256:ff20653730f1a7c96b8b830891925741d1dec7a3add26873e4ced7977efa1434

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

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

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source=pdf_text observed=2026-08-07T11:09:18.825369Z digest=sha256:5aa9fd8b584b79d1f3d8414cf193c65754e6e383e3a2dfd7e303bfbccacf9e3e

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

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no resolver link, observed 2026-08-07T11:09:18.881330Z

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source=pdf_text observed=2026-08-07T11:09:18.881330Z digest=sha256:3beb27449f5d7351148aaeae219f7a229e0f6c59d2859485e0ff601ad3c15208

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

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source=pdf_text observed=2026-08-07T11:09:18.954097Z digest=sha256:74e9ce1c8f68495116e27a6052ba33ed98764bfeed6e240e8693ea8330792ace

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:09:19.092726Z digest=sha256:11943a9f47108b1313843a54cab437cebb6d09198526ff24d724fa8769143e0c

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

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source=pdf_text observed=2026-08-07T11:09:19.200031Z digest=sha256:a0d348839dda725764d5c6806a0df356305b3d7fa285ed346dcf7a89e6325ef6

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

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local_arxiv, observed 2026-08-07T11:09:20.872690Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:09:19.310129Z digest=sha256:5940068c5563504cf469671c383f0850f1a367982a62e1233884856d82628d40

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

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source=pdf_text observed=2026-08-07T11:09:19.417320Z digest=sha256:50a773c1f943fa0d3d5a23c07fe4fb27fa7df83ec91f139efc2b6de300c168c7

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

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source=pdf_text observed=2026-08-07T11:09:19.516719Z digest=sha256:90e8d6aab4d3ee9675c4ae45d7b58cca93c4008a7ed2d7018e8db16d5190fe82

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

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source=pdf_text observed=2026-08-07T11:09:19.642567Z digest=sha256:40f83fb310c3d2cdfb20173255fde7034b2cd02c661e513120b2ead4525d6427

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

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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 2026-08-18T06:34:40.430872+00:00.

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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

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source=pdf_text observed=2026-08-07T11:09:19.878339Z digest=sha256:3317315f3c7b85d7e3e5f57edc0bb452b332979874ef9159f86cb3d6ff8700a1

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

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source=pdf_text observed=2026-08-07T11:09:20.008552Z digest=sha256:606b34d3e2436c1029d5bd297f70e4f1f044b85f2dbac5d5bb221ee076d52e6c

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:09:20.097087Z digest=sha256:578fa72e9d5471dfd3ebb8117ac4f91467cf5b86d1377026f205eea5889148f2

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:09:20.196655Z digest=sha256:361c67f54a362b4c1b16827bc7270b2392e55f2185562fe5a441d19437aa821b

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:09:20.302586Z digest=sha256:c28e4c615be838f4e8e5752825ab49bef03ee83d16e448810b7d53839ef78d1c

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

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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

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Pith citing papers

No inbound Pith citation observations are available.