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Paper Citation Record · LEDGER

High-dimensional Autoregressive Modeling for Time Series with Hierarchical Structures

As of 6 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2512.00508.

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

pith.paper-citation-record.v1
2512.00508 v3

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T03:20:42.772217Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

3 of 3 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85dc5749-67e6-4ce3-a50e-a62a644062c3 · outbound

This paper cites An Efficient and Interpretable Autoregressive Model for High-Dimensional Tensor-Valued Time Series.

High-dimensional Autoregressive Modeling for Time Series with Hierarchical Structures An Efficient and Interpretable Autoregressive Model for High-Dimensional Tensor-Valued Time Series

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:21:28.422775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:20:42.772217Z digest=sha256:aa4a51b41317a31ca62d1a03a36f8c5240a9c2bcfa7ad3150a3c3e996cd38492

Observation 6382f3b7-c323-495e-b9fe-154f02eac991 · outbound

This paper cites explanatory.

High-dimensional Autoregressive Modeling for Time Series with Hierarchical Structures explanatory

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:21:28.419193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:20:42.772217Z digest=sha256:371632935aa7733e32fa825c954bbfa65f31075e1d471b61eec2e39515c3964f

Observation 033242fe-56b3-4bab-affe-c28d514989f8 · outbound

This paper cites and Leiman, J.

High-dimensional Autoregressive Modeling for Time Series with Hierarchical Structures and Leiman, J

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:21:28.979425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:20:42.772217Z digest=sha256:ed781d76a2824a5eb5db8a566ee6195cebc65a0cb73b72b4d6b8aac5fcff1ea8

Pith citing papers

No inbound Pith citation observations are available.