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Paper Citation Record · LEDGER

New tools for network time series with an application to COVID-19 hospitalisations

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.00530.

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

pith.paper-citation-record.v1
2312.00530 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:35:37.928432Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T12:28:07.743967Z

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 7c40c954-719d-4018-8bf1-d920de934f87 · inbound

Forecasting UK Consumer Price Inflation with RaGNAR: Random Generalised Network Autoregressive Processes cites this paper.

Forecasting UK Consumer Price Inflation with RaGNAR: Random Generalised Network Autoregressive Processes New tools for network time series with an application to COVID-19 hospitalisations

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T23:35:37.928432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:35:37.928432Z digest=sha256:f03a0fec30287564085c0a38177197223840dc6c5930d1339e1b60b45943b7b5

Observation 9c8e038e-f4b5-4c76-8a77-e533c645faac · inbound

Hierarchical excitatory processes for modelling event-time data in the presence of exogenous stimuli cites this paper.

Hierarchical excitatory processes for modelling event-time data in the presence of exogenous stimuli New tools for network time series with an application to COVID-19 hospitalisations

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-07-03T12:28:07.745262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T08:58:24.155489Z digest=sha256:aae613eba75f9d95d01eb2ea29dbd0b69e4b425886ac3abfaae22ac1f4df5f20