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Paper Citation Record · LEDGER

A tensor-based dynamic mode decomposition based on the $\star_{\boldsymbol{M}}$-product

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.10126.

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

pith.paper-citation-record.v1
2508.10126 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:42:18.748438Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:19:54.054554Z

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 36c2cb74-0a01-437f-9e8f-15095db9d882 · inbound

Linking GFAP Levels to Speech Anomalies in Acute Brain Injury: A Simulation Based Study cites this paper.

Linking GFAP Levels to Speech Anomalies in Acute Brain Injury: A Simulation Based Study A tensor-based dynamic mode decomposition based on the $\star_{\boldsymbol{M}}$-product

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T20:42:18.748438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:42:18.748438Z digest=sha256:64f53e8cd51407b0ea818a618639ce31b95938f301ca3909da89365e4d9fe833

Observation 428627b4-d704-414a-9827-e91ab2fa4510 · inbound

Incremental Tensor-Train Compression from Streaming TT-Formatted Data: Applications to Reduced-Order Modeling cites this paper.

Incremental Tensor-Train Compression from Streaming TT-Formatted Data: Applications to Reduced-Order Modeling A tensor-based dynamic mode decomposition based on the $\star_{\boldsymbol{M}}$-product

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:19:54.056007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T04:11:15.995994Z digest=sha256:3dc9d313aa26be9d05a274968490fc6436c17ddfded2e4b22e52629e836f8675