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Paper Citation Record · LEDGER

Optimising Rolling Stock Planning including Maintenance with Constraint Programming and Quantum Annealing

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.07212.

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

pith.paper-citation-record.v1
2109.07212 v3

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:51:00.213292Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:47:40.997710Z

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 fc2cca86-8964-4f5c-8fc2-9247a46036de · inbound

EMU circulation planning for Silesian Railways: case study and a quantum approach cites this paper.

EMU circulation planning for Silesian Railways: case study and a quantum approach Optimising Rolling Stock Planning including Maintenance with Constraint Programming and Quantum Annealing

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T14:51:00.213292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:51:00.213292Z digest=sha256:190d9f33a20465fe3de4c279a8eea8151978bd13b04a0175b5227af3eb6eba89

Observation 10f309b8-2345-4e74-8733-e38d94a15cd6 · inbound

Rolling Stock Planning Using the Quantum Approximate Optimization Algorithm cites this paper.

Rolling Stock Planning Using the Quantum Approximate Optimization Algorithm Optimising Rolling Stock Planning including Maintenance with Constraint Programming and Quantum Annealing

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:47:40.999380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T13:07:35.755764Z digest=sha256:e165f46934c02c24e42a6e22f26f4403a24840be661011dc05cdebbbf8dd1e2b