Pith. sign in

Paper Citation Record · LEDGER

Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2003.11603.

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

pith.paper-citation-record.v1
2003.11603 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:33:48.257565Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

85
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 54035d82-e57a-4d1c-8039-82615e91bde9 · inbound

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations cites this paper.

A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-11T11:33:48.257565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:33:48.257565Z digest=sha256:704161d8e4f49b8f95e7fe2188f14cec61a5bded601f8c4714751572e32510ae

Observation 394347fd-ba0c-40f5-9710-459ceec0ad53 · inbound

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection cites this paper.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:24.746210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:24.746210Z digest=sha256:5e96378f09eb2bf3a81fc8fb73ee3983385a96f232c570a2f09e17bdd9f11ac4

Observation 41b822ac-969e-4040-b9b1-33907eeba9fe · inbound

Geometric GNNs for Charged Particle Tracking at GlueX cites this paper.

Geometric GNNs for Charged Particle Tracking at GlueX Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:11:38.331793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:11:38.331793Z digest=sha256:2d3364c6d20fd17c999e60f5c12c9f3b1e454ed211cd99f86d0fec0ff5511b20

Observation 6ff5f103-da40-476a-b1c5-d296dd63aa05 · inbound

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters cites this paper.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T20:44:20.882695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:44:20.882695Z digest=sha256:ffd75dd8a39fdde8bd27ec8d5489c4851d5727416a9a287b17647181f484c1e1

Observation a7c046f6-a4fa-4481-9625-784051b0ad40 · inbound

Search for exotic Higgs boson decays H $\to$ $\mathcal{AA}$ with $\mathcal{AA}$ $\to$ $\gamma\gamma$ in events with a semi-merged topology in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.

Search for exotic Higgs boson decays H $\to$ $\mathcal{AA}$ with $\mathcal{AA}$ $\to$ $\gamma\gamma$ in events with a semi-merged topology in proton-proton collisions at $\sqrt{s}$ = 13 TeV Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T13:11:41.404612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:11:41.404612Z digest=sha256:9e628ebab092ba7f8eb152af498d92bbeb803d77d6988f6e1d1500176c738cab

Observation 0ca37f4a-97f9-4afc-97be-f396cb05d17c · inbound

Using Graph Neural Networks for hadronic clustering and to reduce beam background in the Belle~II electromagnetic calorimeter cites this paper.

Using Graph Neural Networks for hadronic clustering and to reduce beam background in the Belle~II electromagnetic calorimeter Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T23:04:17.386498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-09T23:00:15.240645Z digest=sha256:d4b0d7281d7b65ebaeb171a392d35dc5c3094ec9add01cbcf165c7f5e718f215

Observation f6dd8e18-1e29-4368-8696-c5defb8ff6d0 · inbound

Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context cites this paper.

Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:20:53.129252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-11T03:18:03.316334Z digest=sha256:81344e47ec4e1e6347f4940cb7d83a539ebca7cc7b32da688107af6679d3da53

Observation 54851387-494e-48b8-a12d-10a122c7db1c · inbound

Hybrid pattern recognition for charged particle tracking: Hough transform and convolutional neural efficiency networks cites this paper.

Hybrid pattern recognition for charged particle tracking: Hough transform and convolutional neural efficiency networks Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-11T14:34:16.155352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T14:34:16.155352Z digest=sha256:6664d5362e2f1aafd32797e95bccd39ccaab3878a02081d2cf1721f20ebb8995