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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.00916.

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

pith.paper-citation-record.v1
2103.00916 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:09:18.954097Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.786667Z

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 a63cdf4c-4954-417d-93bb-ebeaa84d4506 · inbound

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

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.

source=pdf_text observed=2026-08-07T11:09:18.954097Z digest=sha256:85d409ccaabad45073520a2940992815019c8e4f68d7230206148a5f04a0492d

Observation 0196ae27-750d-4fff-a545-563fc484eb2d · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC

Reference 162

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:58:54.788042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:c38f43fa558576b9bcece21a1c07f6709c0f16a410b5c104117ab904867e8cb3